Seismic performance probabilistic assessment of long-span single-pylon suspension bridge subject to nonstationary ground motions

• Published in: Earthquake Engineering and Engineering Vibration Vol. 24; no. 3; pp. 843 - 859
• Main Authors: Zhang, Jin, Mo, Yangyang, Yang, Zhenyu, Liu, Xiang, Shi, Xinghu
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2025; Springer Nature B.V
• Subjects: Civil Engineering; Control; Dynamical Systems; Earth and Environmental Science; Earth Sciences; Extreme value distribution; Extreme values; Frame structures; Geotechnical Engineering & Applied Earth Sciences; Ground motion; Hypercubes; Latin hypercube sampling; Maximum entropy; Probability theory; Pylons; Quadratures; Reliability; Reliability analysis; Sampling; Sampling methods; Sampling techniques; Seismic activity; Seismic response; Suspension bridges; Technical Papers; Vibration; seismic performance probabilistic assessment; unequal weights; single-pylon suspension bridge; maximum entropy method; correlation reduced Latin hypercube sampling method
• ISSN: 1671-3664; 1993-503X
• DOI: 10.1007/s11803-025-2340-6

Probabilistic assessment of seismic performance (SPPA) is a crucial aspect of evaluating the seismic behavior of structures. For complex bridges with inherent uncertainties, conducting precise and efficient seismic reliability analysis remains a significant challenge. To address this issue, the current study introduces a sample-unequal weight fractional moment assessment method, which is based on an improved correlation-reduced Latin hypercube sampling (ICLHS) technique. This method integrates the benefits of important sampling techniques with interpolator quadrature formulas to enhance the accuracy of estimating the extreme value distribution (EVD) for the seismic response of complex nonlinear structures subjected to non-stationary ground motions. Additionally, the core theoretical approaches employed in seismic reliability analysis (SRA) are elaborated, such as dimension reduction for simulating non-stationary random ground motions and a fractional-maximum entropy single-loop solution strategy. The effectiveness of this proposed method is validated through a three-story nonlinear shear frame structure. Furthermore, a comprehensive reliability analysis of a real-world long-span, single-pylon suspension bridge is conducted using the developed theoretical framework within the OpenSees platform, leading to key insights and conclusions.