Bin Xu, Rui Pang

Gebundenes Buch

Stochastic Dynamic Response Analysis and Performance-Based Seismic Safety Evaluation for High Concrete Faced Rockfill Dams

Beschreibung

This open access book provides a complete probabilistic analysis method and a performance-based seismic safety evaluation for high concrete faced rockfill dam (CFRD). Combined with random sample generation and reliability analysis methods, the dynamic response characteristics and reliability level of CFRD under various random factors are comprehensively described. In Chapter 2, a random ground motion model based on spectral representation-random function and a high-dimensional random variable generation method based on GF- discrepancy are established. Combined with probability density evolution method (PDEM) and the random sample generation methods to verify its effectiveness and reliability for nonlinear complex geotechnical engineering. In Chapter 3, the dynamic response and probabilistic characteristics of high CFRD under random ground motion are revealed based on the elastoplastic analysis. A performance-based seismic safety evaluation method is established. In Chapter 4,the influence of material parameter randomness on dynamic response and seismic safety of high CFRD is studied from the perspective of stochastic dynamics and probability. In Chapter 5, the stochastic dynamic response and probability distribution of high CFRD under the coupled random action of ground motion and material parameters are systematically studied, and the performance-based seismic safety evaluation framework is improved. In Chapter 6, The stochastic dynamic response of 3D high CFRD is studied, and the failure performance index and performance level based on overstress volume ratio combined with overstress accumulation time are discussed. The performance-based seismic safety evaluation framework is further improved. In Chapter 7, combined with the finite element dynamic time-history analysis method considering the softening effect of rockfill, a performance-based seismic safety evaluation framework for dam slope stability of high CFRD under multiple random factors is systematically explored from the perspective of stochastic dynamics and probability. In Chapter 8, The performance indexes of seismic safety evaluation for high CFRDs are suggested and the corresponding performance level with probability assurance is put forward. The multi-seismic intensity - multi-performance target - failure probability performance relationship is established, and a performance-based seismic safety evaluation framework is initially formed. This book can be used as a reference for scholars studying random vibration and reliability analysis, as well as for scholars studying dam safety evaluation.

Autor

Xu Bin, Professor at the School of Infrastructure Engineering, Dalian University of Technology. He has led four projects funded by the National Natural Science Foundation of China and over 30 other projects. He has published more than 100 papers, including over 50 SCI-indexed and over 70 EI-indexed papers. His main research interests include the engineering properties and numerical simulation methods of coarse-grained soils, seismic safety assessment methods for high earth-rock dams and geotechnical engineering, stochastic dynamic analysis, reliability analysis methods, and disaster prevention and reduction in high earth-rock dams and offshore engineering for nuclear power plants. He has received over 20 awards and honors in various fields. Pang Rui, Associate Professor at the School of Infrastructure Engineering, Dalian University of Technology. He has led two projects funded by the National Natural Science Foundation of China and over 10 other projects. He has published more than 80 papers, including over 60 SCI-indexed and over 70 EI-indexed papers. His main research interests include uncertainty and reliability in hydraulic rock-soil engineering, intelligent monitoring and smart maintenance of hydraulic structures, intelligent construction and digital twin technology in water conservancy engineering, and offshore wind power and marine geotechnical engineering. He has received over 10 awards and honors in various fields.

Produktdetails

• Hydroscience and Engineering
• Verlag: National Natural Science Foundation of China / Springer / Springer Nature Singapore / Springer, Berl
• Artikelnr. des Verlages: 978-981-97-7197-4
• 2025
• Seitenzahl: 208
• Erscheinungstermin: 18. September 2024
• Englisch
• Abmessung: 241mm x 160mm x 17mm
• Gewicht: 464g
• ISBN-13: 9789819771974
• ISBN-10: 9819771978
• Artikelnr.: 71256729