Development of transportation loading spectra for building modules based on a vehicle-module interaction model

Wu, Yuhang; Li, Yuanqi

doi:10.1016/j.engstruct.2022.114828

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…In addition, the frequency range below 20 Hz is the focus of multidisciplinary research because the highest vibration energies of transported objects were concentrated in the low-frequency range [ 4 , 5 , 6 , 7 , 8 , 10 ], and the principle natural frequencies of bridges in vehicle–bridge interaction dynamics research were usually below 20 Hz [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. Therefore, the simulated dynamic responses, i.e., accelerations for cargo damage analysis and vehicle tire reaction forces for bridge property identification, are valuable in this range.…”

Section: Validation Resultsmentioning

confidence: 99%

“…In addition, with the development of prefabricated construction technology, attention must be paid to transporting heavy objects, such as building modules [ 9 ], a long cuboid structure that needs to be transported from the factory to the construction site. Using dynamic loading (also termed transportation loading [ 10 ]) as input conditions, FEM-based vibration analysis [ 11 , 12 ] has predicted the failure of building modules due to fatigue. Moreover, vehicle–bridge interaction (VBI) dynamics research considers a moving vehicle as a vibration source that excites a bridge structure.…”

Section: Introductionmentioning

confidence: 99%

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Development and Validation of a Double-Sensor Hump Calibration Method for Articulated Vehicle Model Identification

Wu,

2023

Sensors

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The realistic simulation of the dynamic responses of a moving articulated vehicle has attracted considerable attention in various disciplines, with the identification of the vehicle model being the prerequisite. To this end, a double-sensor hump calibration method (DHCM) was developed to identify both unladen and laden vehicle models, consisting of a sensor layout optimization step and a system identification step. The first step was to optimize the number and position of sensors via parameter sensitivity analysis; the second was to inversely identify the vehicle system based on sensor responses. For comparison, the DHCM and the existing single-sensor hump calibration method (SHCM) were used to calibrate a small-sized vehicle model and a multi-axle articulated vehicle model. Vertical accelerations of the vehicle models were then simulated and characterized by power spectral densities (PSDs). Validation against experimental measurements indicated that the PSDs of the models identified with the DHCM matched the measured PSDs better than those of the SHCM, i.e., the DHCM-identified model accurately simulated the dynamic response of an articulated vehicle with relative errors below 16% in the low-frequency range. Therefore, the DHCM could identify models of small-sized vehicles and multi-axle articulated vehicles, while the SHCM was only suitable for the former.

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Section: Validation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development and Validation of a Double-Sensor Hump Calibration Method for Articulated Vehicle Model Identification

Wu,

2023

Sensors

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“…Transportation and crane lifting are about to take a larger proportion of the project cost compared with conventional construction, especially when transnational transport is involved (Xu et al, 2020). The units are heavily constricted in size by transportation requirements, setting limits to both width and length (Tam et al, 2007;Wu and Li, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The units are heavily constricted in size by transportation requirements, setting limits to both width and length (Tam et al. , 2007; Wu and Li, 2022).…”

Section: Introductionmentioning

confidence: 99%

An integrated method of automated layout design and optimization for modular construction

Zheng

Li²,

Torres³

2022

ECAM

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PurposeThis paper aims to propose a generative design method combined with meta-heuristic algorithm for automating and optimizing the floor layout of modular buildings using typical standardized module units, which are the room module, the corridor module and the stair module.Design/methodology/approachThe integrated framework involves the generative design method and optimization for modular construction. The generative rules are provided by geometric relationships and functionalities of the module units. An evaluation function of the generated floor plans is also presented by the combination of project cost and cost penalties for the geometric features. The multi-population genetic algorithm (MPGA) method is provided for the optimization of the combination of costs.FindingsThe proposed MPGA method is demonstrated fast and efficient at discovering the globally optimal solution. The results indicate that when the unit price of modules is high, the transportation distance is long, or the land cost is high, the layout cost, which related to the symmetry, the compactness and the energy is tend to be lower, making the optimal layout economical.Originality/valueThis paper presented an integrated framework of generative floor layout and optimization for modular construction by using typical module units. It fulfills the need for automated layout generation with repetitive units and corresponding assessment during the early design stage.

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Axial compressive behavior of the middle-supported irregular-shaped columns in modular aluminum houses

Liu,

Yan,

Chen

et al. 2023

Journal of Building Engineering

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Development of transportation loading spectra for building modules based on a vehicle-module interaction model

Cited by 5 publications

References 30 publications

Development and Validation of a Double-Sensor Hump Calibration Method for Articulated Vehicle Model Identification

Development and Validation of a Double-Sensor Hump Calibration Method for Articulated Vehicle Model Identification

An integrated method of automated layout design and optimization for modular construction

Axial compressive behavior of the middle-supported irregular-shaped columns in modular aluminum houses

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