Optimal Inspection Scheduling of Steel Bridges Using Nondestructive Testing Techniques

Bridge fatigue assessment and management using reliability-based crack growth and probability of detection models

“…For instance, while the UT can be utilized for nearly all steel components in a bridge, the PT may be applied to aluminum and stainless steel members [13]. It is essential to take into account the accuracy of inspection, consequences of detection failures, frequency, accessibility, and cost when selecting an appropriate NDE method [14]. In particular, the cost levels associated with the NDE methods are important to be considered.…”

“…(7) is used to develop an inspection PoD model. As an illustration of the combined approach, the parameters γ and δ are assumed 1.895 and 0.897, respectively [14,25]. As shown in Fig.…”

Fatigue assessment of a railway bridge detail using dynamic analysis and probabilistic fracture mechanics

“…In the last two decades or so, there have been studies on the application on PFM in bridge structures (Chung et al 2006, Cremona 1996, Kwon & Frangopol 2011, Lukic & Cremona 2001, Righiniotis 2004, Righiniotis & Chryssanthopoulos 2004, Zhao & Haldar 1996 but the topic still remains rather academic.…”

Probabilistic bicriterion optimum inspection/monitoring planning: applications to naval ships and bridges under fatigue

“…During the last decades, several probabilistic approaches have been developed and applied to steel structures including ships and bridges subjected to fatigue (Madsen and Sørensen 1990, Madsen et al 1991, Ayyub et al 2002, Moan 2005, Kwon and Frangopol 2010. These studies were extended into cost-effective inspection and maintenance planning considering probability of fatigue damage detection (Garbatov and Soares 2001, Chung et al 2006, Moan 2011.…”

“…The objectives of these developments include effective and timely repair actions. The probability of crack detection was defined as the conditional probability that the crack is detected when it has a specific size (Chung et al 2006). Ideally, the probability of damage detection has to be 1.0.…”