Structural Design of Tall and Special Buildings 

About: Structural Design of Tall and Special Buildings is an academic journal published by Wiley-Blackwell. The journal publishes majorly in the area(s): Shear wall & Seismic analysis. It has an ISSN identifier of 1541-7794. Over the lifetime, 1296 publications have been published receiving 19109 citations. The journal is also known as: Tall and special buildings.

The structural design of tall and special buildings

Abstract: This paper presents some of the oral discussion by the author and others at the 2005 Annual Meeting of the Los Angeles Tall Buildings Structural Design Council. It also includes additional opinions added by the author after the annual meeting. These opinions address the development of a new building code for tall buildings and where the non-structural engineering decision makers can and must make contributions. It also addresses the very important topic of quality control. Copyright © 2005 John Wiley & Sons, Ltd.

Optimal sensor placement for structural health monitoring based on multiple optimization strategies

Abstract: SUMMARY Careful selection and placement of sensors are the critical issue in the construction and implementation of an effective structural health monitoring system. A hybrid method termed the optimal sensor placement strategy (OSPS) based on multiple optimization methods is proposed in this paper. The initial sensor placement is firstly obtained by the QR factorization. Then, using the minimization of the off-diagonal elements in the modal assurance criterion matrix as a measure of the utility of a sensor configuration, the quantity of the sensors is determined by the forward and backward sequential sensor placement algorithm together. Finally, the locations of the sensor are determined by the dual-structure coding-based generalized genetic algorithm (GGA). Taking the scientific calculation software matlab (MathWorks, Natick, MA, USA) as a platform, an OSPS toolbox, which is working as a black box, is developed based on the command-line compiling and graphical user interface-aided graphical interface design. The characteristic and operation method of the toolbox are introduced in detail, and the scheme selection of the OSP is carried out on the world's tallest TV tower (Guangzhou New TV Tower) based on the developed toolbox. The results indicate that the proposed method is effective and the software package has a friendly interface, plenty of functions, good expansibility and is easy to operate, which can be easily applied in practical engineering. Copyright © 2011 John Wiley & Sons, Ltd.

Diagrid structural systems for tall buildings: characteristics and methodology for preliminary design

Abstract: Diagrid structural systems are emerging as structurally efficient as well as architecturally significant assemblies for tall buildings. This paper presents a simple methodology for determining preliminary member sizes. The methodology is applied to a set of building heights ranging from 20 to 60 stories, and parameters for the optimal values of the grid geometry are generated for representative design loadings. These values are shown to be useful for architects and engineers as guidelines for preliminary design. Associated architectural and constructability issues of diagrid structures are also discussed here. Copyright © 2007 John Wiley & Sons, Ltd.

A novel machine learning‐based algorithm to detect damage in high‐rise building structures

Abstract: Summary A novel model is presented for global health monitoring of large structures such as high-rise building structures through adroit integration of 2 signal processing techniques, synchrosqueezed wavelet transform and fast Fourier transform, an unsupervised machine learning technique, the restricted Boltzmann machine, and a recently developed supervised classification algorithm called neural dynamics classification (NDC) algorithm. The model extracts hidden features in the frequency domain of the denoised measured response signals recorded by sensors on different elevations or floors of a structure. The extracted features are used as an input of the NDC to detect and classify the global health of the structure into categories such as healthy, light damage, moderate damage, severe damage, and near collapse. The proposed model is validated using the data obtained from a 3D 1:20 scaled 38-story reinforced concrete building structure. The results are compared with 3 other supervised classification algorithms: k-nearest neighbor (KNN), probabilistic neural networks (PNN), and enhanced PNN (EPNN). NDC, EPNN, PNN, and KNN yield maximum average accuracies of 96%, 94%, 92%, and 82%, respectively.

Progressive collapse analysis of an RC structure

Abstract: Progressive collapse denotes a failure of a major portion of a structure that has been initiated by failure in a relatively small portion of the structure. One approach to evaluate progressive collapse of structures is to study the effects of instantaneous removal of a load-bearing element such as a column. An experimental program is carried out to study the behavior of a 3/8 scaled model of a continuous perimeter beam in a reinforced concrete frame structure following the removal of a supporting column. A detailed finite element model (FEM) is developed and verified to capture the behavior of the beam subjected to large deformation. In order to avoid a detailed FEM of the whole building and to efficiently capture the system response, a three-dimensional nonlinear model of the structure using beam–column and shell elements is also developed. The two models are integrated through hybrid (substructuring) simulations. The potential progressive collapse of the structure and the dynamic load redistributions following column removals are studied. Copyright © 2007 John Wiley & Sons, Ltd.