The accurate estimation of site-specific lifetime extreme traffic load effects is an important
element in the cost-effective assessment of bridges. A common approach is to use statistical …

This paper aims to propose a procedure for modeling the joint probability distribution of
bivariate uncertain data with a nonlinear dependence structure. First, the concept of …

Decreasing the uncertainty in the lengths of railway disruptions is a major help to disruption
management. To assist the Dutch Operational Control Center Rail (OCCR) during …

Many highway bridges carry traffic in two same-direction lanes, and modeling the traffic
loading on such bridges has been the subject of numerous studies. Different assumptions …

Reliability analysis of structures requires statistical models of multi-variate random data that
are nonlinearly interrelated. The current reliability methods that use the Nataf transformation …

Around the world, an increasing amount of bridge infrastructure is ageing. The resources
involved in the reassessment of existing assets often exceed available resources and many …

Abstract Weigh-in-motion (WIM) systems help to collect data such as vehicular loads,
individual axle loads, vehicle type, and number of axles. This is relevant in engineering …

The weigh‐in‐motion (WIM) system and the structural health monitoring (SHM) system have
been used as two separate modules playing different roles in bridge operation and …

In various efforts to assure safety and serviceability of a bridge structure throughout its
lifetime, it is essential to accurately estimate the traffic load effects. Although traffic loads …

Construction projects are typically carried out in highly uncertain environments with the risk
of cost and time overruns, and subsequent disputes between stakeholders. One of common …