Methods for Sensing, Analysis and Computation of Loads and Distributed Damage in Bridges

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Saeed Karim Baba Najad Mamaghani",
  title =        "Methods for Sensing, Analysis and Computation of Loads
                 and Distributed Damage in Bridges",
  school =       "College of Engineering, University of Illinois at
  year =         "2016",
  address =      "USA",
  keywords =     "genetic algorithms, genetic programming, Bridge Weigh
                 in Motion, Damage Detection, Discrete Sensing, Fibre
                 Optic Sensors, Distributed Sensing",
  URL =          "",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "171 pages",
  abstract =     "The worldwide ageing of the infrastructure and the
                 development of new technologies in the construction
                 industry provided a need for structural health
                 monitoring (SHM). SHM provides a tool for owners and
                 researchers to assess the condition of a structure and
                 monitor its behaviour under real life conditions. Road
                 transport and the related infrastructures are clearly
                 an integral part of the economic, political, and social
                 development of the western world. As an example,
                 highway bridges as a major part of infrastructures can
                 be greatly damaged by excessively heavy vehicles or
                 severe environmental conditions. It is therefore,
                 important to assure that such facilities are well
                 maintained and function properly in order to avoid
                 major failures or the need for costly repairs. In
                 current thesis, it is attempted to innovate techniques
                 in order to measure the vehicles loads affecting the
                 bridge elements as well as damage detection methods to
                 monitor the defects along the in-service bridge
                 structural components. Bridge Weigh-in-Motion (BWIM) is
                 using an existing bridge to weigh trucks while they are
                 moving at full highway speeds. A new method of BWIM has
                 been established in order to weigh the passing trucks
                 relying on the shear strain measurements near the
                 bridge abutments which differs from the flexural strain
                 based traditional systems. The shear strain are
                 measured using the rosettes sensors installed on the
                 webs of bridge girders to directly measure the
                 individual axle weights of trucks passing over the
                 bridge abutments. Two concrete slab on steel girder
                 bridges, and a box girder prestressed concrete with
                 different structural types, span lengths, and different
                 sizes were instrumented for the performance
                 verification of the proposed BWIM system. A series of
                 truck runs were implemented in the field to calibrate
                 and evaluate the proposed BWIM system's efficiency. In
                 addition, current research formulated a reference-free
                 distributed damage detection method in order to locate
                 the defects that occur in structures under in-service
                 operating conditions. The sensing method is developed
                 on the basis of Brillouin scattering phenomena. It
                 employs the dynamic distributed strain measurement data
                 in order to sense the structural perturbations under
                 in-service operations, i.e. bridges subjected to
                 traffic loadings, or aircrafts during flights. The
                 advantage of the method developed in this study is that
                 it enables the structure to be monitored at any stage
                 during its service life without the need for prior
                 reference data. An experimental program was designed to
                 investigate the feasibility of the proposed approach in
                 detecting the locations of very small defects.
                 Laboratory experiments were designed in order to
                 simulate the effect of ambient conditions in bridges,
                 especially in terms of realistic displacements, i.e.
                 deflections occurring in highway bridges. In a
                 following effort, a theoretical model was also
                 investigated to analysis the strain transfer mechanism
                 from the structure surface to the distributed optical
                 fibre components in the presence of local defects. The
                 main objective pertained to the accurate quantification
                 of local defects sizes based on distributed monitoring
                 of strains in large structural systems. The theoretical
                 formulation simulated the strain distribution within
                 the components of an optical fiber crossing over a
                 single crack opening. The proposed model was formulated
                 in a manner to quantify defects in the presence of
                 structural vibration. Both linear and nonlinear
                 mechanical characteristics of optical fibre components
                 were also assumed in the formulation. The spatial
                 resolution effect was further numerically implemented
                 within the formulation in order to simulate the
                 measurement configurations. An experimental program was
                 designed for calibration as well as the validation of
                 theoretical formulation. The experiments involved
                 dynamic tests of a 15 meter long steel I beam with two
                 fabricated defects with small opening displacements
                 ranging between 50 and 550 microns.",
  notes =        "2016-02-17

                 Supervisor Farhad Ansari",

Genetic Programming entries for Saeed K Babanajad