This paper critically reviews the understanding of fire hazards in bridges. It starts with
identifying dangerous fire scenarios based on previous accidents. Existing studies on the …

One of the key challenges in fully embracing machine learning (ML) in civil and
environmental engineering revolves around the need for coding (or programming) …

Optimization and decision-making tools are often utilized to enhance the performance of
community buildings under extreme events, but this may compromise the ability of future …

Bridge safety during operating periods is a primary concern worldwide, and the evaluation of
bridge risks is a critical aspect of ensuring bridge safety. The most common methods used …

It is particularly important to develop new materials with both thermal insulation and flame
retardant properties for addressing the severe issues caused by fire accidents. Herein, a …

With the increase in construction scale and difficulty of large and complex bridges in China,
it has become increasingly difficult to assess the safety risks of bridges during the …

Fire poses a major risk to the structural integrity of a bridge or progressively to the bridge's
failure. This study uses an Artificial Neural Network (ANN) to investigate the determining …

Cable overload is one of the most critical contributors to early cable fires. This study
proposes a hybrid Bayesian network (BN)-based fire risk analysis model, to investigate the …

Bridge fires are of significant concern due to their potential consequences and the absence
of standards for assessing fire resistance in bridges. The first step in this assessment …

Structural systems have deteriorated seismic performance as they are exposed to thermal
effect due to dependency of material properties to temperature. Following an earthquake …