Structural health monitoring (SHM) is developing rapidly to fulfill the world's need for resilient
and sustainable communities. Due to the current advancements in machine learning and …

Fractures caused by mining are the main form of water inrush disaster. However, the
temporal and spatial development characteristics of fractures of the rock mass due to mining …

The digital twin (DT) is a virtual replica of real-world buildings, processes, structures, people,
and systems created and maintained to answer questions about its physical part, the …

In this paper, an integrated approach for a holistic (involving notions of resiliency and
sustainability) building design is presented to select the optimal design alternative based on …

The fractional moment-based maximum entropy method (FM-MEM) attracts more and more
attention in reliability analysis recently, comparing with the common integer moment-based …

The approximation of the probability density function (PDF) of the performance function,
especially for the tail distribution, is of paramount importance in structural reliability analysis …

The reasonable representation of input random fields is the key element in the reliability
analysis of practical engineering systems. In most engineering applications, the …

Rare-event probability estimation has a wide range of applications, including the design and
manufacture of precision equipment, aerospace systems, and critical industrial and civil …

In this paper, an efficient approach is proposed for seismic reliability analysis of nonlinear
structures with random parameters subjected to non-stationary stochastic ground motions …

An efficient post-processing simulation method is proposed to estimate small failure
probabilities of stochastic dynamic structures involving the inherent randomness of structural …