Derivation of a new parametric impulse response matrix utilized for nodal wind load identification by response measurement

Amiri, Abbas Kazemi; Bucher, Christian

doi:10.1016/j.jsv.2014.12.027

Cited by 32 publications

(12 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another step is to identify the wind loads inversely from the measured structural response and correlate them to the wind statistics from eddy-correlation measurements. The wind load identification follows the general lines of the experiments already accomplished at the TU Wien laboratory of structural model dynamics (Kazemi and Bucher, 2015).…”

Section: Dedicated Monitoring and Experimentsmentioning

confidence: 99%

The Hydrological Open Air Laboratory (HOAL) in Petzenkirchen: a hypothesis-driven observatory

Blöschl

Blaschke

Broer

et al. 2016

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Hydrological observatories bear a lot of resemblance to the more traditional research catchment concept, but tend to differ in providing more long-term facilities that transcend the lifetime of individual projects, are more strongly geared towards performing interdisciplinary research, and are often designed as networks to assist in performing collaborative science. This paper illustrates how the experimental and monitoring set-up of an observatory, the 66 ha Hydrological Open Air Laboratory (HOAL) in Petzenkirchen, Lower Austria, has been established in a way that allows meaningful hypothesis testing. The overarching science questions guided site selection, identification of dissertation topics and the base monitoring. The specific hypotheses guided the dedicated monitoring and sampling, individual experiments, and repeated experiments with controlled boundary conditions. The purpose of the HOAL is to advance the understanding of water-related flow and transport processes involving sediments, nutrients and microbes in small catchments. The HOAL catchment is ideally suited for this purpose, because it features a range of different runoff generation processes (surface runoff, springs, tile drains, wetlands), the nutrient inputs are known, and it is convenient from a logistic point of view as all instruments can be connected to the power grid and a high-speed glassfibre local area network (LAN). The multitude of runoff generation mechanisms in the catchment provides a genuine laboratory where hypotheses of flow and transport can be tested, either by controlled experiments or by contrasting sub-regions of different characteristics. This diversity also ensures that the HOAL is representative of a range of catchments around the world, and the specific process findings from the HOAL are applicable to a variety of agricultural catchment settings.

show abstract

Section: Dedicated Monitoring and Experimentsmentioning

confidence: 99%

The Hydrological Open Air Laboratory (HOAL) in Petzenkirchen: a hypothesis-driven observatory

Blöschl

Blaschke

Broer

et al. 2016

Hydrol. Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, load estimation is a typical ill‐posed problem (IPP) 8 . Ill‐posed indicates that the matrix mapping the input to the output is singular, and therefore, the input cannot be directly calculated 9–11 …”

Section: Introductionmentioning

confidence: 99%

General Tikhonov regularization‐based load estimation of bridges considering the computer vision‐extracted prior information

Sun

Xia

et al. 2022

Structural Contr & Hlth

View full text Add to dashboard Cite

Estimating the load distribution of a bridge structure enables to evaluate the in-service state and predict the structural responses. This paper develops an iterative strategy to inversely estimate the traffic load distribution of a bridge from limited measurements. The computer vision technologies, including the YOLO network-based object detection and a pixel coordinate-based positioning approach, are used to locate the vehicle positions on the bridge deck and form a prior information vector of the input positions. Then, a generalized Tikhonov regularization method is proposed to estimate the load distribution using the bridge response and prior information. The regularization parameter is determined by the L-curve method. The fusion of computer vision and regularization can improve the load identification accuracy and reduce the overfitting effect. The developed approach is applied to numerical and experimental examples under various load conditions. The load can be accurately identified in all cases, and the full-field responses of the structures can be reconstructed with minor errors.

show abstract

“…Since BWIM is only applicable to identifying the vehicle load of bridges, researchers began to focus on the input estimation methods suitable for general types of loads. 9,10 External loads can be obtained by optimizing an objective function, but this type of method usually requires iteration resulting in a high computation burden. 11 The Penrose–Moore pseudo-inverse method, known as the generalized inverse calculation, has been studied because of its clear concept and easy computation.…”

Section: Introductionmentioning

confidence: 99%

Structural deformation reconstruction by the Penrose–Moore pseudo-inverse and singular value decomposition–estimated equivalent force

Sun

2020

Structural Health Monitoring

View full text Add to dashboard Cite

For structural health monitoring, estimating the external load is a typical ill-posed problem but significant. Because with the external force and the structural finite element model, any required response can be calculated, which is advantageous for further structural health monitoring works. This article first defines an underdetermined equation using a limited number of in-field measurements and the finite element model–calculated influence line matrix, and it proposes a load estimation method using the Penrose–Moore pseudo-inverse (generalized inverse). The objective of the proposed method is to obtain the equivalent nodal force vector with minimum length among all possible force vectors satisfying the deformation constraints. The estimated force is an equivalent nodal force, since it only satisfies limited deformation constraints. With the estimated nodal force, full structure static response can be easily calculated by multiplying the influence line matrix and the equivalent force vector. Besides, the truncated singular value decomposition is used to process the finite element model–calculated influence line matrix to avoid the over-fitting effect due to the measurement noise. The singular values of singular value decomposition represent the significance of the structural deformation modes, and the decreasing rate of the singular values is a good complexity indicator for a structure. The proposed frame can involve any types of static measurements, and it can realize real-time computation because it merely involves the matrix multiplying calculation. Finally, the sensitivity analysis is conducted by numerical simulation, and a large-scale model-based experiment has demonstrated that the algorithm is appropriate for in-field applications.

show abstract

Derivation of a new parametric impulse response matrix utilized for nodal wind load identification by response measurement

Cited by 32 publications

References 9 publications

The Hydrological Open Air Laboratory (HOAL) in Petzenkirchen: a hypothesis-driven observatory

The Hydrological Open Air Laboratory (HOAL) in Petzenkirchen: a hypothesis-driven observatory

General Tikhonov regularization‐based load estimation of bridges considering the computer vision‐extracted prior information

Structural deformation reconstruction by the Penrose–Moore pseudo-inverse and singular value decomposition–estimated equivalent force

Contact Info

Product

Resources

About