Civil Engineering

Module aim

To develop students' pedagogical competence, adapted to the individual educational practice, successful and modern planning, organizing and managing the study process.

Description

The subject reveals close connections between subject, scientific and educational competencies of a teacher. During lectures, seminars, and independent work, higher education didactics is analyzed, emphasizing student-centered studies, international and national higher education space, forms and methods of communication, methodologies in academic environment with different groups of society. The basis of studies consists of reflexive experiential learning, which helps to develop doctoral students' analytical and critical thinking, ability to evaluate their own and others' decisions, promotes a holistic and responsible approach to their activities.

Module aim

To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.

Description

Science philosophy. Prevention of plagiarism. Search for scientific information. Scientific information bases. How to write and publish a paper in a journal indexed in Web of Science. Modern software tools for research planning and scientific results publishing. Modern software tools for research planning and scientific results publishing Knowledge transfer, commercialization and patenting.

Module aim

To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.

Description

Science philosophy. Search for scientific information. How to write and publish a paper in a journal indexed in Web of Science. Big data and its analytics. Modern software tools for research planning and scientific results publishing. Quantitative methods for cross-sectional data analysis. Modern software tools for processing and vizualization of experiments results. Statistical processing of the research data and development of empirical models. Knowledge transfer, commercialization and patenting.

Module aim

To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.

Description

Science philosophy. Prevention of plagiarism. Search for scientific information. Scientific information bases. How to write and publish a paper in a journal indexed in Web of Science. Modern software tools for research planning and scientific results publishing. Modern software tools for research planning and scientific results publishing Knowledge transfer, commercialization and patenting.

Module aim

To deepen and expand knowledge of the input data required for the automated design of transport infrastructure pavement structures, their interrelationships and uncertainty, to assess their impact on digital model results, and to critically evaluate automated pavement design solutions.

Description

The module is intended to provide knowledge and skills related to the automated design of pavement structure. Pavement structure model is based on the components of mechanistic-empirical method - specific data and functional properties of materials, determined by laboratory tests. The use of an automated design model ensures computation speed, accuracy, repeatability and reproducibility.

Module aim

To provide doctoral students with theoretical and practical knowledge regarding current global urbanization issues, principles of sustainability in urban planning, and their practical application in a real-world cities.

Description

Sustainable development of cities, transport systems and renewable energy sources (wind, solar, hydroelectric, ocean energy, geothermal energy, biomass and biofuels) means development and expansion that will ensure a better quality of life for present and future generations. The development of cities and transport systems, as well as the development of renewable energies, will be coherent and sustainable if they have a positive impact on the social environment and the quality of the environment around us.

Module aim

To be able to choose soil testing methofs, get parameters for the chosen soil model.

Description

Soil formation peculiarities and experimental researches needed for determination of the soil finite elements parameters for ground material model. Probabilistic evaluation of experimental data. Soil material models: elastic, elastic-plastic, Moro-Coulomb, Hardening Soil (HS), Hardening Soil with small strain stiffness (HSsmall), Soft Soil Creep models. Discrete element method used for soil simulation.

Module aim

Mastering of micro transport modelling at the level of road strech and intersection. Evaluation of transport and pedestrian flow interaction, impact of traffic flows on traffic safety.

Description

The module examines the challenges arising from the growth of traffic flows in the European Union and Lithuania and their impact on the performance of transport communication facilities and transport infrastructure. It covers simulation modelling methods for traffic flows on highways, national roads and urban street networks. Particular attention is given to the modelling of interactions and conflict situations between vehicular and pedestrian flows at intersections, including the evaluation of traffic safety, capacity and infrastructure performance indicators. The application of modelling results is addressed in the context of planning, design, development and reconstruction solutions for transport communication facilities, as well as in supporting sustainable transport infrastructure development and urban area growth.

Module aim

To introduce PhD students to the nonlinear analysis of reinforced concrete structures.

Description

Material and geometrical nonlinearity. Nonlinear problems in structures. Physical-mechanical properties of concrete at curing state. Shrinkage and creep of concrete. Deformation analysis methods of reinforced concrete structures accounting for concrete creep and shrinkage. Calculation examples and analysis of results. Analysis of concrete structure at meso-level. Analysis of concrete structure at micro-level. Stress-strain relationships for steel and concrete at uniaxial stress state. Strength and strain of concrete at bi-axial and tri-axial stress state. Influence of temperature on deformations of reinforced concrete constructions. Basics of theory of plasticity. Models of concrete cracking. Discrete and smeared cracks models. Cracks width calculation methods. Deflections calculation methods. Bond between steel and concrete and models. Stress- strain analysis using layer model. Basic principles of direct and iterative calculation methods.

Module aim

To introduce students to the theoretical and practical framework of digital construction and building information modelling.

Description

After completing this course, you will have the information and abilities necessary to successfully implement Building Information Modeling (SS-BIM) and digital construction in the construction industry. Knowledge of SS-BIM enhances the effectiveness and efficiency of operations throughout the construction sector. The core topics include the origin, components, definition, and application of SS-BIM, as well as its role throughout the project life cycle. The course also analyzes the latest global digital construction technologies-such as Chat GPT, digital twins, virtual and augmented realities, wearables, and IoT (including equipment monitoring and repair, inventory management and ordering, energy efficiency, and security)-across the building life cycle, with a focus on their potential implementation in Lithuania. Additionally, the course will feature presentations on real-world examples of the latest SS-BIM applications in real estate and construction both in Lithuania and globally.

Module aim

To provide theoretical background and to teach how to develop multi-criteria discrete optimization models and apply decision support systems in order to solve problems of sustainable construction.

Description

Basics of Multi-Criteria Discrete Optimization: goal formulation, data types, problem-solving models, and types of utility functions. Expert data processing and expert selection. Intelligent Decision Support Systems (IDSS), their classification and components; integration of multi-criteria IDSS with recommendation, consulting, expert, data, and text analytics systems; practical examples of decision support systems and their application to sustainable construction tasks. Latest Global Trends in Multi-Criteria Optimization and IDSS in the Built Environment include Generative AI, AI and Personalization, AI in Construction and Real Estate, Democratization of AI, Multimodality, AI in Transportation, AI in Climate Change Solutions, Digital Twins, Predictive Analytics, Shadow AI, Conversational AI, Augmented Reality, augmented work, and customized AI models revolutionizing construction, responsible AI.

Module aim

To give general fundamentals of theory and its practical use of statistical investigation and multiple criteria evaluation of building and building structures.

Description

Trends of development and application of statistical investigation in civil engineering codes of developed European countries. Application of random values, processes and areas and probalistic investigation models. Statistical control and evaluation of members and systems. All-round quality analysis of projects. Influence of micro-factors on efficieney of projects. Fundamental theory, methods and models for multiple criteria evaluation of projects. Optimality criteria. Theoretical methods for determination of weight values of criteria. Integration of multiple criteria decision making methods with recommender, advisory, expert, data and text mining methods. Combination of multiple criteria decision making systems with recommender, advisory, expert, data and text mining systems.