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Fach- und Universitätsübergreifendes 1318
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Sonderforschungsbereiche 1592

Aktuellste Veröffentlichungen

Reshaping anisotropic behavior in metallic sheets under complex stress states: symmetric and asymmetric polynomial models with advanced convexity analysis approach
(2025-07-16) Ren, Yanqiang; Du, Kai; Hou, Yong; Song, Liying; Sun, Liang; Yang, Yanfeng; Zheng, Wentao; Yuan, Xiaoguang
Fourth-order polynomial-related analytical symmetric and asymmetric anisotropic yield criteria under the non-associated flow rule, are proposed to cover a wider range of stress states. The new model can be directly calibrated using selected experimental data. Additionally, a modified geometry-inspired numerical convexity proof method is developed to demonstrate that the proposed model satisfies the convexity condition. Compared the newly proposed and existing advanced convexity proof methods and yield criteria, and evaluated the applicability and effectiveness of the new framework. The results indicate that the new convexity proof method provides highly accurate convexity identification, consistent with the Hessian matrix method, while maintaining the user-friendliness of the GINCA method. The new symmetric model exhibits the highest accuracy in characterizing the plastic anisotropy of DP490 and AA6016-T4 compared to other investigated yield criteria. Furthermore, the new asymmetric model effectively predicts the strength differential effect under complex stress states. Precise modeling of near-plane strain and pure shear stress states significantly enhances the characterization of stress states in tensile-tensile and tension–compression regions. Applying the anisotropic hardening concept enables continuous capture of the subsequent yielding behavior of metallic sheets.
Pathways to adjust partial safety factors for the design of steel-reinforced concrete structures
(2026-01-27) Feiri, Tânia; Lux, Til; Wiens, Udo; Ricker, Marcus
Annex A of EN 1992-1-1:2023—recently revised and amended in the context of the Second Generation of Eurocodes—introduces a method to adjust partial safety factors for the resistance side alongside a set of factors for different conditions and design situations, both for new and existing structures. The method proposed in Annex A is complemented by a set of stochastic models for relevant basic variables and forms a rather simple and objective format to adjust the partial safety factors from the default values offered in EN 1990:2023. Yet, over the last few years, advanced reliability-based methods aligned with modern computational tools have proved to enable rather robust and efficient structural reliability assessments. A thorough comparative analysis is imperative to understand how distinct reliability-based methods can be applied to adjust partial safety factors in the design of new structural components composed of steel-reinforced concrete. This analysis sheds light on the use of different methods to derive partial safety factors for the resolution of common engineering problems and offers inferences regarding possible implications in terms of safety and economic efficiency of design solutions.
Jahrbuch 2024
(2025-07)
Cascading effects analysis: methodological reflections for managing compound urban crises
(2026-01-31) Schnittfinke, Tanja
Urban crises rarely occur in isolation but emerge as interconnected disruptions across space, time, and institutions. The COVID-19 pandemic intensified existing vulnerabilities and intersected with other crises, producing cascading effects. This paper asks how cascading effects analysis can be used as a planning-oriented method to map and govern compound urban crises, drawing on case studies from Cape Town, Dortmund, and São Paulo. In Cape Town, South Africa, the pandemic intersected with high HIV and tuberculosis rates and load shedding, straining health and social services. In Dortmund, Germany, COVID-19’s economic disruptions overlapped with an energy price crisis, while in São Paulo, Brazil, lockdowns coincided with increased gender-based violence and constrained access to support services. Together, these cases show how pre-existing socio-political and economic conditions shape the impacts of crises, exacerbating marginalization and deepening systemic inequalities. Cascading effects analysis is used to visualize and address interdependencies in compound crises, helping planners move beyond sectoral silos, identify key intervention points for crisis management, and support more resilient and equitable urban planning. The paper calls for a methodological shift in urban crisis research toward tools that better communicate systemic risk and bridge risk assessment, social vulnerability, and planning practice.
Land prices and determinants of socio-economic development in Pleiku, Central Highlands, Vietnam
(2026-01-21) Phuong, Tran Trong; Vien, Tran Duc; Loc, Nguyen Duc; Khue, Phan Van; Trung, Nguyen Dinh; Scholz, Wolfgang
The rapid urbanization of Pleiku City, Vietnam, has led to a sharp increase in the demand for and prices of residential land, creating challenges for urban management and land valuation. This study aims to identify and quantify the key factors influencing residential land prices in Pleiku to provide a scientific basis for land use planning and smart urban development. Data were collected through surveys of 30 state officials involved in land valuation and 250 households living along major streets in Pleiku. Cronbach’s alpha was used to test the reliability of the collected data, and exploratory factor analysis (EFA) was used to identify influencing factor groups. The results show that residential land prices are strongly influenced by multiple factors, with location and infrastructure playing the most decisive roles. Market land prices were found to be approximately 1.5–2 times higher than state-regulated prices. Among the identified factor groups, location and infrastructure had the strongest influence, followed by economic, social, legal, and specific land use factors. Price differences between land plots mainly reflect variations in location, street characteristics, accessibility, and commercial potential. The study concludes that location and infrastructure development are the dominant drivers of residential land prices in Pleiku. These findings have important implications for land valuation, urban planning, and the implementation of smart urban construction policies in rapidly developing cities in Vietnam.