For practical structures, some input random variables follow multimodal distributions, and
conventional reliability analysis methods may result in large computational errors. In this …

Uncertainty propagation and reliability analysis involving random variables following multi-
modal distributions are still challenging, where conventional methods could not be …

The high-precision estimation of a multimodal probability density function is a difficult
problem in many engineering fields. We propose a new method to improve the estimation …

In practical engineering applications, random variables may follow multimodal distributions
with multiple modes in the probability density functions, such as the structural fatigue stress …

Weigh-in-motion systems are installed in pavements or on bridges to identify and reduce the
number of overloaded vehicles and minimise their adverse effect on road infrastructure …

This study aims to use traditional regression model and machine learning method to analyse
the impact of traffic loading on pavement performance. Pavement condition data were …

ABSTRACT Weigh-in-Motion (WIM) systems are used in order to reduce the number of
overloaded vehicles. Data collected from WIM provide characteristics of vehicle axle loads …

Analysis of Pavement Structures brings together current research and existing knowledge
on the analysis and design of pavements and introduces load and thermal stress analyses …

In practical engineering applications, random variables may follow multimodal distributions
with multiple modes in the probability density functions, such as the structural fatigue stress …

This paper proposes a new second-order saddlepoint approximation (SOSA) method for
reliability analysis of nonlinear systems with correlated non-Gaussian and multimodal …