Identification of both structural damages in bridge deck and vehicular parameters using measured dynamic responses

Lu, Zhong-Rong; Liu, J. K.

doi:10.1016/j.compstruc.2011.03.008

Cited by 52 publications

(26 citation statements)

References 32 publications

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“…Analytical expressions for interface stiffness are provided in [2], [3] as functions of elastic and geometric properties of units and mortar joints. These read: (14) where E u , E m are Young modulus of units and mortar, G u , G m are shear modulus of unit and mortar, and h m is the mortar joint height. The relationships (14), though simple and theoretically founded, may significantly overestimate elastic stiffness of mortar joints.…”

Section: Mesoscale Model For Urmmentioning

confidence: 99%

“…These read: (14) where E u , E m are Young modulus of units and mortar, G u , G m are shear modulus of unit and mortar, and h m is the mortar joint height. The relationships (14), though simple and theoretically founded, may significantly overestimate elastic stiffness of mortar joints. This has been pointed out in [3], where was proposed to reduce the elastic stiffness calculated using (14) to correctly represent the response of real URM panels.…”

Section: Mesoscale Model For Urmmentioning

confidence: 99%

“…The inverse problem is generally solved through the use of an optimization approach, in which a discrepancy function between the computed output variables (given a trial set of input parameters) and the measured entities is minimised. While calibration methods with dynamic tests and inverse analysis techniques (dynamic inverse analysis) are now well-established for determining constitutive elastic parameters of existing structures [13], [14], [15], the use of static tests may represent a more suitable and cheaper strategy when nonlinear material parameters are to be sought [16]. However, the results obtained by applying inverse analysis with experimental static tests (static inverse analysis) may be less accurate, mainly because of the limited amount of information that static tests can supply [17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An inverse analysis procedure for material parameter identification of mortar joints in unreinforced masonry

Chisari

Macorini

Amadio

et al. 2015

Computers & Structures

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Section: Mesoscale Model For Urmmentioning

confidence: 99%

Section: Mesoscale Model For Urmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An inverse analysis procedure for material parameter identification of mortar joints in unreinforced masonry

Chisari

Macorini

Amadio

et al. 2015

Computers & Structures

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“…Masri et al [152] proposed a neural network based detection scheme that uses time responses both in the training and detection phases. Bu et al [153] and Lu and Liu [154] studied the direct use of time histories of vehicle or bridge acceleration in sensitivity-based model updating method.…”

Section: Objective Features and Functionsmentioning

confidence: 99%

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

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Abstract:Research on detecting structural damage at the earliest possible stage has been an interesting topic for decades. Among them, the vibration-based damage detection method as a global technique is especially pervasive. The present study reviewed the state-of-the-art on the framework of vibration-based damage identification in different levels including the prediction of the remaining useful life of structures and the decision making for proper actions. This framework consists of several major parts including the detection of damage occurrence using response-based methods, building reasonable structural models, selecting damage parameters and constructing objective functions with sensitivity analysis, adopting optimization techniques to solve the problem, predicting the remaining useful life of structures, and making decisions for the next actions. For each part, the commonly used methods were reviewed and the merits and drawbacks were summarized to give recommendations. This framework is aimed to guide the researchers and engineers to implement step by step the structure damage identification using vibration measurements. Finally, the future research work in this field is recommended.

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“…It is also noted that the accuracy of the identified moving loads may have a large influence on the identification accuracy of the structural damage. Lu and Liu (2011) identified the bridge and vehicle parameters iteratively from the bridge responses. Virtual distortion method was used to identify simultaneously the moving masses and damages of a supporting structure from measured responses .…”

Section: Iterative Procedures For Vehicle-bridgementioning

confidence: 99%

Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

Zhu

Law

2015

Advances in Structural Engineering

134

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The use of the vehicle-bridge interaction (VBI) data for structural health monitoring has received considerable interest in the last decade. Compared with the traditional bridge health monitoring, the VBI based approach allows the target bridges to be monitored or assessed under operating conditions. The VBI system has time-variant features and the vehicle can serve as a moving exciter and a mobile sensor in the system. Many bridge damage identification techniques based on VBI have been developed, and they could be divided into three categories, namely, technique based on the bridge responses, technique based on the vehicle responses and technique based on both the vehicle and bridge responses. This paper presents a review on the structural health monitoring based on VBI and the challenges for its general implementation in practice.

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Identification of both structural damages in bridge deck and vehicular parameters using measured dynamic responses

Cited by 52 publications

References 32 publications

An inverse analysis procedure for material parameter identification of mortar joints in unreinforced masonry

An inverse analysis procedure for material parameter identification of mortar joints in unreinforced masonry

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

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