FINITE ELEMENT MODEL UPDATING OF BRIDGES WITH MOBILE AND SMART TECHNOLOGIES FOR INFRASTRUCTURE-RELATED DECISION MAKING

Download

Wasim Ramadan Thesis.pdf

Date

2021-7-19

Author

Ramadan, Wasim

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

282
views

365
downloads

Understanding the mechanical behavior of civil infrastructure under earthquakes has always been a fundamental concern in civil and structural engineering. Unlike many other disciplines, experimental modeling of civil infrastructure is cumbersome because of scale size, time constraints, and financial limitations. For these reasons, primary efforts on structural dynamics deal with theoretical models built on finite element (FE) method and structural health monitoring (SHM) systems with advanced sensor networks. However, FE solutions include modeling errors, whereas conventional SHM is costly and difficult to implement. The technological innovation in the mobile sensing paradigm is slowly replacing high-cost SHM systems in favor of the embedded accelerometers in smartphones. Moreover, a combination of theoretical and measurement-based approaches can amplify the accuracy to have a more reliable FE model representing reality. Therefore, by reducing research equipment cost and empowering bridge models with field calibration, we can expect improving disaster preparedness at the critical infrastructures. This study presents an innovative engineering mechanics framework for smart and sustainable infrastructure by adapting bridge reconnaissance processes with smartphone sensor support. In this research, the Northern Cyprus transportation network is utilized as a testbed, identifying multiple bridges, producing documentation, developing a database for bridge models, and proposing an updating framework for bridge monitoring using smartphone accelerometers. The results of implementing the proposed framework on twenty bridges, primarily historical, show that monitoring based on smartphone accelerometers can aid FE model calibration and reliability estimations based on developed fragility curves. Eventually, reliability estimations can serve the stakeholders for better-informed decision-making, with a minimal investment in instrumentation and labor according to the proposed methodology.

Subject Keywords

Bridge Dynamics, Smartphone Sensors, Finite Element Model Updating, Reliability Estimation, Seismic Performance Assessment

URI

https://hdl.handle.net/11511/93188

Collections

Northern Cyprus Campus, Thesis

Suggestions

OpenMETU
Core

Performance Assessment of Turkish Residential Buildings for Seismic Damage and Loss Estimation Un, Elif M.; Erberik, Murat Altuğ; Askan Gündoğan, Ayşegül (2015-04-01) This study aims to present an integrated method in a probabilistic manner for seismic performance assessment of Turkish residential buildings, which can be used as a tool to estimate earthquake losses due to structural damage. In particular, the objective is to determine the performances of different types of residential buildings for predicting the potential seismic loss in terms of casualties (death toll) for a highly populated city in northwestern Turkey. The main phases of this study are seismic hazard,...
Seismic demands of bare and base-isolated steel frames for real against simulated records of a past earthquake Ozsarac, Volkan; Karim Zadeh Naghshineh, Shaghayegh; Askan Gündoğan, Ayşegül; Erberik, Murat Altuğ (2021-02-01) A challenging task in earthquake engineering is investigation of engineering demand parameters under regional records of large earthquakes due to inherently low frequency of these events. Use of simulated records in such cases is a recent alternative. Ground motion simulations were traditionally performed to model physical processes in earthquake occurrences. Nowadays, simulations are also used for engineering purposes. However, detailed assessment of simulated records against real data including their effe...
Quantitative approach to rapid seismic evaluation of slab-on-girder steel highway bridges Dicleli, Murat (1996-01-01) A quantitative approach follows for developing a methodology for the rapid seismic evaluation and ranking of slab-on-girder steel highway bridges. In the development of this methodology, analytical expressions are introduced to calculate the seismically induced forces and displacements in bridge components, first assuming that damage to bearings is not acceptable and then removing this constraint. In the latter case, the superstructure is assumed to become unrestrained and slide on its supports. The seismic...
Seismic behavior of semi-precast concrete shear walls Golnesa Karimi, Zindashti; Binici, Barış; Canbay, Erdem (null; 2017-10-11) Successful seismic performance of well-designed and constructed precast concrete members is crucial for sustainable, economical and high speed construction. The main disadvantage of precast concrete is the difficulty of detailing the connection region between the vertical and horizontal load bearing elements to ensure structural integrity. Double wall system, being a semi-precast approach, consists of two precast reinforced concrete layers encasing a cast-in-place concrete layer which is usually employed to...
Seismic fragilities for non-ductile reinforced concrete frames - Role of aleatoric and epistemic uncertainties Çelik, Ozan Cem (2010-01-01) Seismic fragilities are essential to earthquake loss estimation and performance-based earthquake engineering in regions of high seismicity. Construction practices for frames in regions of moderate seismicity are quite different, and such frames have received less attention in the literature. Fragilities for performance levels identified in recent seismic regulations are developed herein for reinforced concrete frames designed for gravity load in low-seismic regions using probabilistic non-linear finite elem...

Citation Formats

W. Ramadan, “FINITE ELEMENT MODEL UPDATING OF BRIDGES WITH MOBILE AND SMART TECHNOLOGIES FOR INFRASTRUCTURE-RELATED DECISION MAKING,” M.S. - Master of Science, Middle East Technical University, 2021.