Collapse-Resistant Performance of Long-Span Single-Layer Spatial Grid Structures Subjected to Equivalent Sudden Joint Loads

Tian, Li-min; Wei, Jian-peng; Huang, Qunxian; Ju, J. W.

doi:10.1061/(asce)st.1943-541x.0002904

Cited by 42 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, the key area contains members in high‐level stress or unstable states, such as the main bearing member, compression member with a large slenderness ratio, and the member near structural supports. The key area could be determined through the sensitivity analysis of the member (Feng et al., 2020) and progressive collapse analysis of the structure (Tian et al., 2021). Optimize parameters of cameras: The quantity, position, orientation, intrinsic parameters of cameras are optimized according to the key area and site condition. Deformation quantification and evaluation: Based on the proposed methodology in this paper, the crookedness of members could be identified and extracted through data collection, processing, and analysis. Structural safety assessment: The residual bearing capacity of the structure could be analyzed with the deformation measurements (Liu et al., 2019; Sheidaii & Gordini, 2015), and then the structural state is determined for further maintenance.…”

Section: Methodology Frameworkmentioning

confidence: 99%

“…In general, the key area contains members in high-level stress or unstable states, such as the main bearing member, compression member with a large slenderness ratio, and the member near structural supports. The key area could be determined through the sensitivity analysis of the member (Feng et al, 2020) and progressive collapse analysis of the structure (Tian et al, 2021). 2.…”

Section: Methodology Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Automated inspection and monitoring of member deformation in grid structures

Wei

Fan

Liu

et al. 2021

Computer aided Civil Eng

View full text Add to dashboard Cite

In large-span grid structures with thousands of members involved, bending deformation of members is one of the most commonly observed damages affecting the normal service, even the safety of structures. Traditional testing and monitoring methods show weakness in the accurate judgment of crooked members and precision of deformation measurements. In this paper, a new deformation inspection and monitoring method of grid structures using image-based 3D reconstruction is proposed, wherein a new method is put forward to automatically recognize and extract the shape deformation of the structural member for the first time. First, the key area with multiple members is modeled as a threedimensional mesh model using image-based 3D reconstruction. Then, a new automated recognition and extraction algorithm of shape deformation (AREAS) is carried out, and crooked members, together with their deformed shapes, are extracted from the mesh model through AREAS. In this study, a load experiment of a quadrangular pyramid grid structure containing artificial crooked members and speckled members is designed to compare the deformation measurements using image-based 3D reconstruction with those using laser scanning. The comparison of deformation and deformation increment shows an average error within 1 mm for image-based 3D reconstruction, which validates the proposed method in on-site inspection and monitoring.

show abstract

Section: Methodology Frameworkmentioning

confidence: 99%

Section: Methodology Frameworkmentioning

confidence: 99%

Automated inspection and monitoring of member deformation in grid structures

Wei

Fan

Liu

et al. 2021

Computer aided Civil Eng

View full text Add to dashboard Cite

show abstract

“…According to the experimental data, the Auricchio multi-linear simplified model in ABAQUS [22,23] was used to simulate the low-cycle fatigue performance of SMA bar with the heat treatment parameters of being held at 350 °C for 30 min, and the comparison of the stress-strain curve and nephogram between the finite element and experiments are shown in Figure 12. and Figure 13.…”

Section: Feamentioning

confidence: 99%

Research on Fatigue Performance of Shape-Memory Alloy Bars under Low Cyclic Loading

Li,

Zhao,

Cheng

2023

Buildings

View full text Add to dashboard Cite

In recent years, shape memory alloys (SMAs) have been applied in the vibration control of engineering structures due to their special properties such as super elasticity and high damping, and the study of the performance of SMA wires has been relatively comprehensive, while research on the fatigue performance of SMA bars via cyclic tensile tests has been pretty rare, and low-cycle fatigue test has not been reported. However, the damage to building structures caused by earthquakes is of high-strain, low-cycle fatigue; therefore, in order for SMA bars to be used in seismic design, low-cycle fatigue tests were conducted on SMA bars with a diameter of 14 mm in this paper. Firstly, specimens were heat treated at a constant temperature of 350 °C for 30 min; other specimens were heat treated at a constant temperature of 400 °C for 15 min, while the rests were heat treated under a constant temperature of 400 °C for 30 min. Secondly, the energy dissipation capacity and residual strain of the SMA bar specimens were determined using the low-cycle fatigue test, in which the strain amplitudes were 2.5%, 3.5% and 3.75%. Additionally, the stress–strain relationship for SMA bars under cyclic loading was given. Finally, low-cycle fatigue properties of SMA bars were numerically simulated in the comparison analysis with the experimental results to verify their feasibility. Thus, it is proved that SMA bars can be recommend for seismic design building structures.

show abstract

“…Many researchers have studied the mechanical properties of classic grid shells [45][46][47]. As a result, it is worthwhile to investigate the mechanical performance of free-form grid shells.…”

Section: Mechanical Performancementioning

confidence: 99%

Digital and automatic design of free-form single-layer grid structures

Gao

et al. 2022

Automation in Construction

View full text Add to dashboard Cite

Collapse-Resistant Performance of Long-Span Single-Layer Spatial Grid Structures Subjected to Equivalent Sudden Joint Loads

Cited by 42 publications

References 25 publications

Automated inspection and monitoring of member deformation in grid structures

Automated inspection and monitoring of member deformation in grid structures

Research on Fatigue Performance of Shape-Memory Alloy Bars under Low Cyclic Loading

Digital and automatic design of free-form single-layer grid structures

Contact Info

Product

Resources

About