Bridge Aerodynamics 50 Years After Tacoma Narrows - Part II: A New Discipline World-Wide

Walshe, D E; Wyatt, T.A.

doi:10.1016/0167-6105(92)90000-7

Cited by 13 publications

(4 citation statements)

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“…Some concrete surfaces show the effects of what is known as "map cracking" (see Fig.17), which can appear in very young concrete due to the evaporation of its water content after pouring, 15 possibly followed by inadequate curing. Although the cracks thus formed are normally shallow and are not serious, they can affect structural durability.…”

Section: Map Crackingmentioning

confidence: 99%

“…Within the study-analysis of what could be called "classical" cases of failure-collapse, one could point to for example those by: a) Pearson and Delatte [7] on Ronan Point; b) Pearson and Delatte [8] on the Quebec Bridge; c) King and Delatte [9] on the 2000 Commonwealth Avenue building; d) Corley et al [10], Kazemi-Moghaddam and Sasani [11], Mlakar Sr. et al [12], Osteraas et al [13], and Sozen et al [14] on the Murrah Federal Building; e) Walshe and Wyatt [15], Wyatt [16], Matsumoto et al [17], and Plaut [18] on the Tacoma Narrows Bridge; and f) Corley [19], Omika et al [20], Wang et al [21], Irfanoglu and Hoffman [22], and Miamis et al [23] on the World Trade Center. All these "classical" failures made the headlines in their day and the subsequent study of the events that led up to them helped to improve subsequent designs.…”

Section: Introductionmentioning

confidence: 99%

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Learning from failures in an emblematic building in Valencia, Spain

Adam

Buitrago

2018

Engineering Failure Analysis

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On many occasions advances have been made in science and engineering thanks to the knowledge gained from failures. In the particular case of structural engineering the study of actual failures makes it possible to advance and define new theories, concepts and designs, for example, the changes and improvements that appeared after some of the "classical" failures such as the Ronan Point building, Quebec Bridge, Murrah Federal Building, Tacoma Narrows Bridge and the World Trade Center. This paper describes a teaching method used with structural engineering students at the Universitat Politècnica de València based on the study of cases of damage to buildings in the Valencia, Spain. Due to its special characteristics, one of the buildings studied is the Príncipe Felipe Science Museum. Some of its main characteristics are: 1) it is one of Valencia's emblematic buildings, 2) its considerable dimensions required huge quantities of concrete, 3) it has a complex structure and an innovative architectural design, 4) the wide variation in the type of damage detected, which make it a particularly valuable teaching aid. The most important damage detected has been classified and described during the visits to the Príncipe Felipe Science Museum. The damage mechanisms are widely diverse and include: those due to the behaviour of the concrete itself (e.g. shrinkage and early age thermal cracking), those due to the presence of damp, those whose origin can be traced back to the construction phase, and others due to corroded reinforcement and to the loads acting on the structure. The paper has a double value since on one hand it describes a highly successful teaching aid for the training of specialists 2 in structural engineering, while on the other it classifies and describes the existing damage in one of the most important modern buildings in Spain and perhaps in Europe.

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Section: Map Crackingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Learning from failures in an emblematic building in Valencia, Spain

Adam

Buitrago

2018

Engineering Failure Analysis

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“…Thirty years later, strip aerodynamic theory, beam structural model, and nonpermanent lifting surface methods, are developed to apply the finite element models in order to approximate the reduced frequency [11]. Following the advent of digital computers, other powerful representation methods along with the new more precise aerodynamic theories [12,13] as well as efficient modeling of wing structures [14][15][16] were possible to implement. Since then, control theories and structural dynamics [17] have been employed and become more applicable.…”

Section: Introductionmentioning

confidence: 99%

Aeroelastic Optimization of the High Aspect Ratio Wing with Aileron

Ghalandari¹,

Mahariq²,

Ghadak³

et al. 2022

Computers, Materials &Amp; Continua

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In aircraft wings, aileron mass parameter presents a tremendous effect on the velocity and frequency of the flutter problem. For that purpose, we present the optimization of a composite design wing with an aileron, using machine-learning approach. Mass properties and its distribution have a great influence on the multi-variate optimization procedure, based on speed and frequency of flutter. First, flutter speed was obtained to estimate aileron impact. Additionally mass-equilibrated and other features were investigated. It can deduced that changing the position and mass properties of the aileron are tangible following the speed and frequency of the wing flutter. Based on the proposed optimization method, the best position of the aileron is determined for the composite wing to postpone flutter instability and decrease the existed stress. The represented coupled aero-structural model is emerged from subsonic aerodynamics model, which has been developed using the panel method in multidimensional space. The structural modeling has been conducted by finite element method, using the p-k method. The fluid -structure equations are solved and the results are extracted.

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“…One of the main concerns for long-span bridges is wind-induced dynamic response, which is most commonly predicted using frequency domain methods, where the aeroelastic effects are introduced in terms of experimentally determined aerodynamic derivatives [1][2][3][4][5][6][7][8][9][10][11][12]. This approach is an extension of classical airfoil theory [13], where Theodorsen's function provides the self-excited forces that are actions generated by the motion of the cross section in the fluid flow.…”

Section: Introductionmentioning

confidence: 99%