Svitlana Rogovchenko

• Holen, Martin; Rogovchenko, Svitlana; Noorsumar, Gulshan & Goodwin, Morten (2025). Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators. IEEE Conference on Emerging Technologies and Factory Automation. ISSN 1946-0740. p. 1553–1558. doi: 10.1109/ICMLA61862.2024.00239. Full text in Research Archive Show summary

  Road accidents leads to a significant number of deaths in the world, with human error being attributed as one of the roots of the problem. One of the possible alternatives to address the issue is the development of autonomous vehi-cles. Of the many technological advancements in the field of autonomous vehicles, Reinforcement Learning (RL) has shown progress because its methodology is not reliant on human data. However, one of its challenges is the definition of the reward function, which is critical to RL algorithms. In this context, determining the severity of a crash allows for an improvement in the reward function, especially in simulators. In this study, we present a Deep Neural Network (DNN) based model that predicts the crash impact severity in terms of vehicle deformation during the event, along with the de-formation we create a reward strategy for RL- based vehicle simulators. The model is developed based on data generated from finite element simulations replicating a full-frontal vehicle impact against a rigid barrier. We compare the trained model with a variety of NN methods, and different input data. The Neural Network model performs well, supporting the development of a reward system to improve RL-based autonomous vehicle simulators.

• Martinez, Paul Hernandez; Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2024). “The theorem says…”: Engineering students making meaning of solutions to Ordinary Differential Equations. Journal of Mathematical Behavior. ISSN 0732-3123. 73. doi: 10.1016/j.jmathb.2023.101116. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2024). Exactness: A Concept Important for Engineering Applications or a Source of Potential Difficulties? IEEE Transactions on Education. ISSN 0018-9359. 67(4), p. 562–573. doi: 10.1109/TE.2023.3335874. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Identifying Tensions in a Small Group Work on an Open-Ended Modelling Task. Proceedings of the Annual Conference on Research in Undergraduate Mathematics Education (RUME). p. 736–743. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Potential conflict factors in learning exact differential equations: Analysis of students’ work. In Drijvers, Paul; Csapodi, Csaba; Palmer, Hanna; Gosztonyi, Katalin & Kónya, Eszter (Ed.), Proceedings of the thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). European Society for Research in Mathematics Education. ISSN 9789637031045. p. 2517–2524. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematics education of future biologists: A strong need for brokering between mathematics and biology communities of practice. In Dreyfus, Tommy; Gonzalez-Martin, Alejandro S.; Monaghan, John David; Nardi, Elena & Thompson, Pat (Ed.), The learning and teaching of calculus across disciplines - proceedings of the second calculus conference. MatRIC. Full text in Research Archive
• Hernandez-Martinez, Paul; Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2023). Collaboration between Mathematicians and Mathematics Educators: dialogical inquiry as a methodological tool in Mathematics Education research. Educational Studies in Mathematics. ISSN 0013-1954. 114, p. 129–148. doi: 10.1007/s10649-023-10245-w. Full text in Research Archive Show summary

  Collaboration between Mathematicians and Mathematics Educators is crucial in advancing knowledge on the teaching and learning of Mathematics, particularly in advanced Mathematics pedagogy. However, there is a need for the type of collaborations where Mathematicians and Mathematics Educators can find common ground, and the synergy of their expertise results in new, hybrid meanings and understandings that can benefit practice. This paper aims to help researchers from these communities come together by presenting a novel methodology for collaborative inquiry and qualitative data analysis—dialogical inquiry—based on Mikhail Bakhtin’s theory of dialogism. In this framework, “truth” is conceived as never finalised but always coevolving through dialogue that involves participants with different “voices” and “languages”. We describe the three principles that underpin dialogical inquiry: motivation, power balance and a process for solving disagreements. These three principles interact together to create a space where critically productive dialogue allows for meanings to coevolve and new, hybrid understandings to emerge. We illustrate our operationalisation of these principles (i.e., the methods of dialogical inquiry) in two areas: understanding solutions to linear ordinary differential equations and making meaning of the Bakhtinian concept of superaddressee. We reflect on our use of this methodology in Mathematics Education research and invite the readers to create their own dialogic spaces of collaboration.

• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematics education of future biologists: A strong need for brokering between mathematics and biology communities of practice. In Dreyfus, Tommy; Gonzalez-Martin, Alejandro S.; Monaghan, John David; Nardi, Elena & Thompson, Pat (Ed.), The learning and teaching of calculus across disciplines - proceedings of the second calculus conference. MatRIC. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry & Klausen, Andreas (2023). Development and Extended Validation of a Lumped Parameter Prediction Model for Analysing Injury Parameters in a Vehicle Crash. In Wagner, Gerd; Werner, Frank; Tuncer, Oren & Rango, Floriano De (Ed.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2021. Springer. ISSN 9783031231490. doi: 10.1007/978-3-031-23149-0_1. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Vysochinskiy, Dmitry & Robbersmyr, Kjell Gunnar (2023). A Numerical Comparison of Lagrange and Kane’s Method for Modeling and Crashworthiness Assessment of a Modified Vehicle. In Wagner, Gerd; Werner, Frank & Rango, Floriano De (Ed.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2022. Springer. ISSN 9783031438233. p. 156–176. doi: 10.1007/978-3-031-43824-0_9. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Conceptual understanding of solutions to differential equations: How do assessment tasks promote it? In Hodgen, Jeremy; Geraniou, Eirini; Bolondi, Giorgio; Feretti, Federica & Ferretti, Federica (Ed.), Proceedings of the 12th Congress of the European Society for Research in Mathematics Education (CERME12). European Society for Research in Mathematics Education. ISSN 9791221025378. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar & Vysochinskiy, Dmitry (2022). Vehicle crashworthiness performance in frontal impact: Mathematical model using elastic pendulum. Mechanics research communications. ISSN 0093-6413. 124. doi: 10.1016/j.mechrescom.2022.103954. Full text in Research Archive Show summary

  Vehicle occupant injuries due to collisions cause many fatalities every year. Safe vehicle design plays a critical role in averting serious injuries to occupants and vulnerable road users in the event of a crash. In this paper we study a full frontal vehicle crash against a rigid barrier introducing a Lumped Parameter Model (LPM) inspired by the elastic pendulum motion. The model uses polar coordinates to simplify the problem and the governing equations have been defined using Lagrangian formulation. The Simulink model has been validated against Finite Element (FE) data demonstrating good correlation with pitching angle and maximum crush of the vehicle. These parameters are crucial for designing vehicles which efficiently protect occupants.

• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Promoting conceptual understanding of differential equations through inquiry tasks. In Järvinen, Hannu-Matti; Silvestre, Santiago; Llorens, Ariadna & Nagy, Balázs (Ed.), Towards a new future in engineering education, new scenarios that European alliances of tech universities open up. Société européenne pour la formation des ingénieurs (SEFI). ISSN 9788412322262. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Promoting engineering students' learning with mathematical modelling projects. In Järvinen, Hannu-Matti; Silvestre, Santiago; Llorens, Ariadna & Nagy, Balázs (Ed.), Towards a new future in engineering education, new scenarios that European alliances of tech universities open up. Société européenne pour la formation des ingénieurs (SEFI). ISSN 9788412322262. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Vysochinskiy, Dmitry & Robbersmyr, Kjell Gunnar (2022). Modeling of Modified Vehicle Crashworthiness using a Double Compound Pendulum. In Wagner, Gerd; Werner, Frank & Rango, Floriano De (Ed.), Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress. ISSN 9789897585784. p. 102–111. doi: 10.5220/0011306100003274. Full text in Research Archive Show summary

  Vehicle crash modeling has been a challenge for researchers for several decades. Occupant injury prevention and prediction is a critical area within vehicle safety design. The modeling of material failure in structural members during a full frontal crash has been presented in this paper. This study presents a Lumped Parameter Model (LPM) with an elastic double compound pendulum replicating the impact kinematics. The model defined using Lagrangian formulation; presents a novel methodology to represent material fracture caused due to heat affected zones or welding in Ultra High Strength Steels (UHSS) in a non-linear crash event. The material fracture leads to rotation of the vehicle; presented in the form of torsional springs in the LPM developed in this study. The Simulink model has been validated with a finite element simulation and shows good correlation to predict parameters crucial to design for occupant protection in a vehicle crash.

• Noorsumar, Gulshan; Robbersmyr, Kjell Gunnar; Rogovchenko, Svitlana & Vysochinskiy, Dmitry (2022). An Overview of Data Based Predictive Modeling Techniques Used in Analysis of Vehicle Crash Severity. In Sanfilippo, Filippo; Granmo, Ole-Christoffer; Yayilgan, Sule Yildirim & Bajwa, Imran Sarwar (Ed.), Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. Springer. ISSN 9783031105241. p. 355–379. doi: 10.1007/978-3-031-10525-8_28. Full text in Research Archive Show summary

  Accident injury prediction is a crucial constituent to reducing fatalities linked to vehicle crashes. The vehicle development process and road safety planning includes also the injury prediction for occupants and Vulnerable Road Users (VRUs) in a vehicle crash and the identification of the factors responsible for increased traffic collision injuries. This paper reviews the different data-based prediction techniques to modeling a vehicle crash event, crash frequency and crash severity. Machine learning (ML) is a research field which has gained impetus in the recent years and is widely used in different engineering applications; including injury prediction in vehicle collisions. The paper is divided into two major sections; the first section presents an overview of the existing predictive models for estimating injury severity in a crash event to occupants and VRUs and the second section describes the applications of data-based modeling techniques to predict crash frequency in different traffic scenarios. We also discuss possible future applications of data-based modeling techniques in this domain.

• Gómez-Chacón, Inés M.; Hochmuth, Reinhard; Rogovchenko, Svitlana & Brouwer, Nataša (2021). Methods and Materials for Professional Development of Lecturers, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 9788021099838. p. 127–146. doi: 10.5817/CZ.MUNI.M210-9983-2021-7. Full text in Research Archive
• Rogovchenko, Yuriy; Astafieva, Mariia; Martinez, Paul Hernandez; Lytvyn, Oksana; Morze, Nataliia & Pátíková, Zuzana [Show all 8 contributors for this article] (2021). Mathematical Modelling and Inquiry-Based Mathematics Education, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 9788021099838. p. 147–170. doi: 10.5817/CZ.MUNI.M210-9983-2021-8. Full text in Research Archive Show summary

  Mathematical modelling (MM) is a powerful tool used by scientists and engineers to solve important problems for humankind. MM opens many possibilities for inquiry and has been included in the PLATINUM project as one of the Intellectual Outputs, IO5 (see Chapter 5 for the complete list). We consider MM an important part of the teaching and learning process. We believe that helping to develop students’ modelling competencies we equip them with a valuable understanding of practical and theoretical concepts, prepare them for a life-long learning, and form them as critical citizens. This chapter is organised as follows. In Section 8.2, we share our views on why we teach MM, noting that our teaching practices are adapted differently to suit local educational contexts (types of students, programs of study, institutional traditions, constraints, etc.). We proceed with the discussion of what are the most important to us characteristics of Inquiry-Based Mathematics Education (IBME) as a teaching approach. To explain authors’ understanding of how the MM relates to IBME, the concept of ‘active knowledge’ is introduced in Section 8.3. The key idea of this concept is that in response to the use of IBME in the classroom students’ engagement with MM activates previously acquired knowledge and facilitates its efficient use. In Section 8.4, partners present examples of the use of MM within IBME practices and comment on how students activate their mathematical knowledge. Each example shows multifaceted connections between MM and IBME. We reflect on the lessons learned from our contributions to the Intellectual Output IO5 in Section 8.5

• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2021). Teaching Students to Think Mathematically Through Inquiry: The Norwegian Experience, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 9788021099838. p. 197–213. doi: 10.5817/CZ.MUNI.M210-9983-2021-11. Full text in Research Archive
• Noorsumar, Gulshan; Vysochinskiy, Dmitry; Englund, Even; Robbersmyr, Kjell Gunnar & Rogovchenko, Svitlana (2021). Effect of welding and heat treatment on the properties of UHSS used in automotive industry. The European Physical Journal Conferences. ISSN 2101-6275. 250. doi: 10.1051/epjconf/202125005015. Full text in Research Archive Show summary

  This paper deals with the undesired effects of the heat treatments on the mechanical properties of (UHSS) Ultra High Strength Steel used nowadays in automotive industry to improve crashworthiness performance of vehicles. The UHSS specimens were extracted from certain parts of the car body and subjected to different heat treatments. Four types of specimens were tested: untreated, welded with metal inert gas welding, heat treated at 800 °C, and heat treated at 1250 °C. All heat-treated specimens showed dramatically reduced values of strength. The results suggest that it is important to follow the official repair manuals avoiding unnecessary welding and improper heat treatments of UHSS. The experiments provide the data necessary for constructing a constitutive model and performing a finite-element analysis of improperly repaired UHSS parts.

• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar & Vysochinskiy, Dmitry (2021). Mathematical models for assessment of vehicle crashworthiness: a review. International Journal of Crashworthiness. ISSN 1358-8265. 27(5). doi: 10.1080/13588265.2021.1929760. Full text in Research Archive Show summary

  This article reviews approaches to mathematical modeling of a vehicle crash. The growing focus on vehicle and occupant safety in car crashes has triggered the need to study vehicle crashworthiness in the initial stages of vehicle development. The major motivation for this work is to support vehicle crashworthiness design during the product development process.The article is divided into two parts; the first one overviews existing mathematical models used to solve engineering problems. The second part describes modeling strategies applied for replicating non-linear vehicle crash event and occupant kinematics in an occupant protection loadcase. We also highlight alternative modeling strategies using hybrid modeling techniques aimed at the improvement of the vehicle development process.

• Rogovchenko, Svitlana (2021). Mathematical Modelling Problems in a Mathematics Course for Engineers: A Commognitive Perspective. In Leung, Frederick Koon Shing; Stillman, Gloria A.; Kaiser, Gabriele & Wong, Ka Lok (Ed.), Mathematical modelling education in East and West. Springer. ISSN 9783030669959. p. 561–570. doi: 10.1007/978-3-030-66996-6_47. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry & Klausen, Andreas (2021). A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models, 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021). SciTePress. ISSN 9789897585289. p. 62–70. doi: 10.5220/0010529200620070. Full text in Research Archive Show summary

  This paper presents a novel technique for modeling a full frontal vehicle crash. The crash event is divided into two phases; the first until maximum crush and the second part when the vehicle starts pitching forward. This novel technique will help develop a three degrees of freedom (DOF) lumped parameter model (LPM) for crash and support in the vehicle development process. The paper also highlights the design process for reducing vehicle pitching in occupant protection load cases. The model has been validated against a finite element (FE) simulation of a full frontal crash of a Chevrolet Silverado developed by the National Highway Traffic Safety Administration (NHTSA), and the LPM shows good correlation with the FE test data.

• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2020). The Use of Nonstandard Problems in an Ordinary Differential Equations Course for Engineering Students Reveals Commognitive Conflicts. Proceedings of the Annual Conference on Research in Undergraduate Mathematics Education (RUME). p. 1141–1145. Full text in Research Archive Show summary

  We report on a teaching intervention in an ordinary differential equations (ODEs) course for engineering students focusing our attention on the role of nonstandard problems in the challenging traditional approaches to Existence and Uniqueness Theorems (EUTs). Our analysis of the students mathematical discourse developed in the process of group discussions within Commognition Theoretical Framework reveals unresolved commognitive conflict. We suggest how modifications in the problem design prompted by the students mathematical discourse can be used to improve students conceptual understanding of the material.

• Noorsumar, Gulshan; Robbersmyr, Kjell Gunnar; Rogovchenko, Svitlana & Vysochinskiy, Dmitry (2020). Crash Response of a Repaired Vehicle-Influence of Welding UHSS Members. SAE technical paper series. ISSN 0148-7191. 1- 2020(April), p. 1–5. doi: 10.4271/2020-01-0197. Full text in Research Archive Show summary

  Automakers generally recommend not to weld structural parts after a vehicle crash, and these should be replaced as a whole part in case of a crash event. Sectioning of these members is also not recommended and use of the repair manual is mandatory in case of fracture of such parts. However, repair shops may not adhere to these instructions and use incorrect repair procedures on these members which would modify their strength properties. This study analyses the impact of welding structural members in a vehicle like the A-pillar which use Ultra-High Strength Steels (UHSS) for reducing the weight of the vehicle and improving the crashworthiness of the structure. The research conducted in this paper highlights the differences in the crash performance of a repaired vehicle as opposed to baseline injury values for the vehicle. The performance of the modified vehicle when tested for different loadcases shows reduced crash performance as compared to the baseline performance and it can be concluded that welding or sectioning the UHSS parts would influence the crashworthiness of a vehicle. This paper only focuses on structural integrity of the repaired vehicle in a crash event. The performance of the vehicle in occupant injury is kept out of scope for this study.

• Duarte, Jorge; Januário, Cristina; Martins, Nuno; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2019). Chaos analysis and explicit series solutions to the seasonally forced SIR epidemic model. Journal of Mathematical Biology. ISSN 0303-6812. 78, p. 2235–2258. doi: 10.1007/s00285-019-01342-7. Full text in Research Archive Show summary

  Despite numerous studies of epidemiological systems, the role of seasonality in the recurrent epidemics is not entirely understood. During certain periods of the year incidence rates of a number of endemic infectious diseases may fluctuate dramatically. This influences the dynamics of mathematical models describing the spread of infection and often leads to chaotic oscillations. In this paper, we are concerned with a generalization of a classical Susceptible–Infected–Recovered epidemic model which accounts for seasonal effects. Combining numerical and analytic techniques, we gain new insights into the complex dynamics of a recurrent disease influenced by the seasonality. Computation of the Lyapunov spectrum allows us to identify different chaotic regimes, determine the fractal dimension and estimate the predictability of the appearance of attractors in the system. Applying the homotopy analysis method, we obtain series solutions to the original nonautonomous SIR model with a high level of accuracy and use these approximations to analyze the dynamics of the system. The efficiency of the method is guaranteed by the optimal choice of an auxiliary control parameter which ensures the rapid convergence of the series to the exact solution of the forced SIR epidemic model.

• Liakos, Yannis; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). A New Tool for the Assessment of the Development of Students’ Mathematical Competencies, The 19th SEFI Mathematics Working Group Seminar on Mathematics in Engineering Education. European Society for Engineering Education. ISSN 9782873520175. p. 158–163. Full text in Research Archive
• Rogovchenko, Svitlana; Treffert-Thomas, Stephanie & Rogovchenko, Yuriy (2018). Non-standard Problems in an Ordinary Differential Equations Course. International Network for Didactic Research in University Mathematics : INDRUM. Full text in Research Archive
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2018). The use of nonstandard problems in an ODE course for engineering students. Proceedings of the International Groups for the Psychology of Mathematics Education. ISSN 0771-100X. 4, p. 283–290. Full text in Research Archive

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• Rogovchenko, Yuriy; Rogovchenko, Svitlana & Thomas, Stephanie (2018). Bergquist, Österholm M, Granberg, Sumpter L. Proceedings of the 42nd Conference of the International Group for the Psychology of Mathematics Education (Vol. 4). Umeå, Sweden: International Group for the psychology of Mathematics Education. ISBN 978-91-7601-905-4. International Group for the Psychology of Mathematics Education. ISBN 9789176019054. 485 p. Full text in Research Archive

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• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Students’ Difficulties with the Understanding of the Concept of the General Solution to a Differential Equation: Can We Teach It Better? Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Identifying Tensions in a Small Group Work on an Open-Ended Modelling Task. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematical modeling projects in advanced ordinary differential equations courses for mathematics and engineering students. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematical model of yeast growth: biology students use mathematics to understand biological processes. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematics education of future biologists: A strong need for brokering between mathematics and biology communities of practice. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Students’ Difficulties with the Understanding of the Concept of the General Solution to a Differential Equation: Can We Teach It Better? Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Potential conflict factors in learning exact differential equations: Analysis of students’ work. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Conceptual understanding of solutions to differential equations: How do assessment tasks promote it? Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Conceptual understanding of solutions to differential equations: How do assessment tasks promote it? Full text in Research Archive
• Rogovchenko, Yuriy & Rogovchenko, Svitlana (2022). Promoting conceptual understanding of differential equations through inquiry tasks. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Potential conflict factors in learning exact differential equations: an impact of institutional practices. Full text in Research Archive
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Promoting engineering students' learning with mathematical modelling projects. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry & Klausen, Andreas (2021). A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models. Full text in Research Archive
• Noorsumar, Gulshan; Robbersmyr, Kjell Gunnar; Rogovchenko, Svitlana & Vysochinskiy, Dmitry (2021). An overview of Data Based Predictive Modeling Techniques used in Analysis of Vehicle Crash Severity. Full text in Research Archive
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2020). The Use of Nonstandard Problems in an Ordinary Differential Equations Course for Engineering Students Reveals Commognitive Conflicts. Full text in Research Archive
• Rogovchenko, Svitlana (2019). Exploration routines in a Differential Equations course: students’ work with non-standard problems. Full text in Research Archive
• Rogovchenko, Svitlana (2019). Mathematical modelling tasks in an ODE course: a commognitive perspective. Full text in Research Archive
• Thomas, Stephanie; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). THE USE OF NONSTANDARD PROBLEMS IN AN ODE COURSE FOR ENGINEERING STUDENTS. Full text in Research Archive
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Thomas, Stephanie (2018). Non-standard Problems in an Ordinary Differential Equations Course. Full text in Research Archive
• Liakos, Ioannis Evagellos; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). A New Tool for the Assessment of the Development of Students' Mathematical Competencies. Full text in Research Archive
• Thomas, Stephanie; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). Development of Students Mathematical Discourse through Individual and Group Work with Nonstandard Problems on Existence and Uniqueness Theorems. Full text in Research Archive
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2017). Individual and Group Work with Nonstandard Problems in an ODE course for Engineering Students. Full text in Research Archive
• Rogovchenko, Svitlana (2016). „Experience with running mathematics support centre at UiA“. Full text in Research Archive
• Rogovchenko, Svitlana (2015). Introduction to The UNIVERSITY LEVEL MATHEMATICS TEACHING COURSE AT NTNU. Full text in Research Archive
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar & Vysochinskiy, Dmitry (2023). Modeling, Simulation and Prediction of Vehicle Crashworthiness in Full Frontal Impact. Universitetet i Agder. ISSN 9788284271132. Full text in Research Archive Show summary

  Vehicle crashworthiness assessment is critical to help reduce road accident fatalities and ensure safer vehicles for road users. Techniques to assess crashworthiness include physical tests and mathematical modeling and simulation of crash events, the latter is preferred as mathematical modeling is generally cheaper to perform in comparison with physical testing. The most common mathematical modeling technique used for crashworthiness assessment is nonlinear Finite Element (FE) modeling. However, a problem with the use of Finite Element Model (FEM) for crashworthiness assessment is inaccessibility to individual researchers, public bodies, small universities and engineering companies due to need for detailed CAD data, software licence costs along with high computational demands. This thesis investigates modeling strategies which are affordable, computationally and labour inexpensive, and could be used by the above-mentioned groups. Use of Lumped Parameter Models (LPM) capable of capturing vehicle parameters contributing to vehicle crashworthiness has been proposed as an alternative to adopting FEM, while the later have been used to validate LPMs developed in this thesis. The main crash scenario analysed is a full frontal impact against a rigid barrier. Front-end deformation which can be used to measure crash energy absorption and pitching which could lead to occupant injuries in a frontal crash event are parameters focused on. The thesis investigates two types of vehicles; vehicle with initial structure intact is defined as baseline vehicle, while a vehicle that underwent unprofessional repairs on its structural members made of Ultra High Strength Steel (UHSS) is defined as a modified vehicle. The proposed novel LPM for a baseline vehicle impact is inspired by pendulum motion and expresses the system using Lagrangian formulation to predict the two phases of impact: front-end deformation and vehicle pitching. Changes in crashworthiness performance of a modified vehicle were investigated with a FEM; tensile tests on UHSS coupons were conducted to generate material inputs for this FEM. Further, a full scale crash test was conducted to validate the FE simulations. An LPM to conduct crashworthiness assessment of a modified vehicle has been proposed, it is based on a double pendulum with a torsional spring representing the vehicle undergoing a full frontal impact.

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