Infrastructure systems are critical to a country’s prosperity. It is extremely important to manage the infrastructure systems efficiently in order to avoid wastage and to maximize benefits. Deterioration of infrastructure systems is one of the primary issues in civil engineering today. This problem has been widely acknowledged by engineering community in numerous studies. We need to evolve efficient strategies to tackle the problem of infrastructure deterioration and to efficiently operate infrastructure. In this research, we propose stochastic models to predict the process of deterioration in engineering systems and to perform life-cycle analysis (LCA) of deteriorating engineering systems. LCA has been recognized, over the years, as a highly informative tool for helping the decision making process in infrastructure management. In this research, we propose a stochastic model, SSA, to accurately predict the effect of deterioration processes in engineering systems. The SSA model addresses some of the important and ignored areas in the existing models such as the effect of deterioration on both capacity and demands of systems and accounting for different types of failures in assessing the life-span of a deteriorating system. Furthermore, this research proposes RTLCA, a renewal theory based LCA model, to predict the life-cycle performance of deteriorating systems taking into account not only the life-time reliability but also the costs associated with operating a system. In addition, this research investigates the effect of seismic degradation on the reliability of reinforced concrete (RC) bridges. For this purpose, we model the seismic degradation process in the RC bridge columns which are the primary lateral load resisting system in a bridge. Thereafter, the RTLCA model along with SSA model is used to study the life-cycle of an example RC bridge located in seismic regions accounting for seismic degradation. It is expected that the models proposed in this research will be helpful in better managing our infrastructure systems.

京都大学 / 新制・課程博士 / 博士(工学) / 甲第25240号 / 工博第5199号 / 新制||工||1992(附属図書館) / 京都大学大学院工学研究科建築学専攻 / (主査)准教授 倉田 真宏, 教授 西山 峰広, 教授 聲高 裕治 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DGAM

During strong earthquakes structural systems exhibit nonlinear behavior due to low-cycle fatigue, cracking, yielding and/or fracture of constituent elements. After a seismic event it is essential to assess the state of damage of structures and determine if they can safely resist aftershocks or future strong motions. The current practice in post-earthquake damage assessment relies mainly on visual inspections and local testing. These approaches are limited to the ability of inspectors to reach all potentially damaged locations, and are typically intended to detect damage near the outer surfaces of the structure leaving the possibility of hidden undetected damage. Some structures in seismic prone-regions are instrumented with an array of sensors that measure their acceleration at different locations. We operate under the premise that acceleration response measurements contain information about the state of damage of structures, and it is of interest to extract this information and use it in post-earthquake damage assessment and decision making strategies. The objective of this dissertation is to show that Bayesian filters can be successfully employed to estimate the nonlinear dynamic response of instrumented structural systems. The estimated response is subsequently used for structural damage diagnosis. Bayesian filters combine dynamic response measurements at limited spatial locations with a nonlinear dynamic model to estimate the response of stochastic dynamical systems at the model degrees-of-freedom. The application of five filters is investigated: the extended, unscented and ensemble Kalman filters, the particle filter and the model-based observer. The main contributions of this dissertation are summarized as follows: i) Development of a filtering-based mechanistic damage assessment framework; ii) Experimental validation of Bayesian filters in small and large-scale structures; iii) Uncertainty quantification and propagation of response and damage estimates computed using Bayesian filters.

Bridge design should take into account not only safety and functionality, but also the cost effectiveness of investments throughout a bridge life-cycle. This work presents a probabilistic approach to compute the life-cycle cost (LCC) of corroding reinforced concrete (RC) bridges in earthquake prone regions. The approach is developed by combining cumulative seismic damage and damage associated to corrosion due to environmental conditions. Cumulative seismic damage is obtained from a low-cycle fatigue analysis. Chloride-induced corrosion of steel reinforcement is computed based on Fick’s second law of diffusion. The proposed methodology accounts for the uncertainties in the ground motion parameters, the distance from source, the seismic demand on the bridge, and the corrosion initiation time. The statistics of the accumulated damage and the cost of repairs throughout the bridge life-cycle are obtained by Monte-Carlo simulation. As an illustration of the proposed approach, the effect of design parameters on the life-cycle cost of an example RC bridge is studied. The results are shown to be valuable in better estimating the condition of existing bridges (i.e., total accumulated damage at any given time) and, therefore, can help schedule inspection and maintenance programs. In addition, by taking into consideration the deterioration process over a bridge life-cycle, it is possible to make an estimate of the optimum design parameters by minimizing, for example, the expected cost throughout the life of the structure.

A comprehensive study has been carried out to investigate the correlation between deformation demands of frame structures and a number of widely cited ground motion intensity parameters. Nonlinear response history analyses of single-degree-of-freedom (SDOF) and multi-degree-of-freedom (MDOF) models derived from sixteen reinforced concrete frames were carried out under a set of eighty ground motion records. The frames were selected to portray features of typical low-to-mid rise reinforced concrete structures. The records contained in the ground motion database were compiled from the recorded ground motions with the intention to possess a broad range of amplitude, frequency content and duration characteristics that shift selected frames into various degrees of elastic as well as inelastic response. Maximum deformation demands of SDOF models and the maximum interstory drift ratios of MDOF models, response parameters of interest, were computed employing 1280 nonlinear response history analyses. Computed response parameters were compared with the ground motion intensity parameters employed and correlation between them were quantified through coefficients of correlation and determination. The results revealed that the spectral intensity parameters including spectral amplitudes over a range of period covering the frame structures have the strongest correlation and present better relationship with the deformation demands compared to the intensity parameters that are based on a single amplitude such as PGA, PGV and spectral acceleration. Besides analytical study, association of ground motion parameters with observed damage has been investigated and no clear trend has been observed between the performance of the buildings and the seismic indices.

En el presente trabajo de investigación tiene como objetivo sistematizar la información sobre las características de edificaciones de albañilería en una plataforma geoespacial, basándonos de las aplicaciones de una función de vulnerabilidad (centro histórico Chiclayo) para el análisis de la vulnerabilidad y posteriormente evaluar el riesgo sísmico. Las edificaciones de albañilería confinada en los AA.HH, en específico de los sectores de estudio. Son viviendas que se construyen sin la supervisión de un especialista (ingenio civil), donde las viviendas son construidas generalmente por los propios pobladores o un maestro de obra de la zona, quienes desconocen las mínimas características del Reglamento Nacional de Edificaciones. Teniendo este escenario se ha realizo el análisis bajo once (11) parámetros para poder determinar la vulnerabilidad y el riesgo sísmico. Donde la característica principal del problema es, que se tiene como escenario las autoconstrucciones en las edificaciones de albañilería, donde esta situación pone en peligro a gran parte de la ciudadanía y la población por falta de conocimiento al momento de realizar dichas construcciones. El método a emplear en la investigación es de Benedetti y Petrini (método Italiano) estima un índice de vulnerabilidad calculado en función de las características de la estructura que más influyen en su comportamiento sísmico, y lo relaciona con un índice de daño, que a su vez depende de la acción del movimiento sísmico. El diseño de la Investigación es, No experimental, Transversal y Descriptivo los resultados que se obtuvo son edificaciones con vulnerabilidad de baja, moderada y severo. Para esta investigación de tubo tamaño de la población (manzanas) = 191, donde la muestra a utilizar es (n = 128) manzanas a evaluar en le los sectores 19, 20, 21, y 22 de distrito de chorrillos. In the present research aims to systematize information on the characteristics of masonry buildings in a geospatial platform based applications built-in vulnerability (historic center Chiclayo) for vulnerability analysis and subsequently evaluate the seismic risk. Confined masonry buildings in AA.HH in specific fields of study. These are homes that are built without the supervision of a specialist (Civil Engineering), where homes are generally built by villagers themselves or foreman of the area who know the minimum requirements of the National Building Regulations. Given this scenario analysis has been conducted on eleven (11) parameters to determine the vulnerability and seismic risk. The method used in research is of Benedetti and Petrini (Italian method) estimates a vulnerability index calculated according to the structure characteristics that influence their seismic behavior, and links it to an index of damage, which in turn depends on the action of earthquake. The research design is not experimental, transversal and descriptive the results obtained are vulnerable buildings with low, moderate and severe. Nationwide studies of seismic vulnerability of masonry buildings are rare, because there is a lack of knowledge of the general population how to follow procedures (construction process) in the construction of such buildings, where this can help mitigate the problem before a seismic event with destructive effects and the lack of alternative solutions increases the risk before a seismic event.

The occurrence of two recent major earthquakes, 17 August 1999 Mw = 7.4 Izmit and 12 November 1999 Mw = 7.1 D&uuml / zce, in Turkey prompted seismologists and geologists to conduct studies to predict magnitude and location of a potential earthquake that can cause substantial damage in Istanbul. Many scenarios are available about the extent and size of the earthquake. Moreover, studies have recommended rough estimates of risk areas throughout the city to trigger responsible authorities to take precautions to reduce the casualties and loss for the earthquake expected. Most of these studies, however, adopt available procedure by modifying them for the building stock peculiar to Turkey. The assumptions and modifications made are too crude and thus are believed to introduce significant deviations from the actual case. To minimize these errors and use specific damage functions and capacity curves that reflect the practice in Turkey, a study was undertaken to predict damage pattern and distribution in Istanbul for a scenario earthquake proposed by Japan International Cooperation Agency (JICA). The success of these studies strongly depends on the quality and validity of building inventory and site property data. Building damage functions and capacity curves developed from the studies conducted in Middle East Technical University are used. A number of proper attenuation relations are employed. The study focuses mainly on developing a software to carry out all computations and present results. The results of this study reveal a more reliable picture of the physical seismic damage distribution expected in Istanbul.

Countries world-over have thousands of critical structures and bridges which have been built decades back when strength-based designs were the order of the day. Over the years, magnitude and frequency of loadings on these have increased. Also, these structures have been exposed to environmental degradation during their service life. Hence, structural health monitoring (SHM) has attracted the attention of researchers, world over. Structural health monitoring is recommended both for vulnerable old bridges and structures as well as for new important structures. Structural health monitoring as a principle is derived from condition monitoring of machinery, where the day-to-day recordings of sound and vibration from machinery is compared and sudden changes in their features is reported for inspection and trouble-shooting. With the availability of funds for repair and retrofitting being limited, it has become imperative to rank buildings and bridges that require rehabilitation for prioritization. Visual inspection and expert judgment continues to rule the roost. Non-destructive testing techniques though have come of age and are providing excellent inputs for judgment cannot be carried out indiscriminately. They are best suited for evaluating local damage when restricted areas are investigated in detail. A few modern bridges, particularly long-span bridges have been provided with sophisticated instrumentation for health monitoring. It is necessary to identify local damages existing in normal bridges. The methodology adopted for such identification should be simple, both in terms of investigations involved and the instrumentation. Researchers have proposed various methodologies including damage identification from mode shapes, wavelet-based formulations and optimization-based damage identification and instrumentation schemes and so on. These are technically involved but may be difficult to be applied for all critical bridges, where the sheer volume of number of bridges to be investigated is enormous. Ideally, structural health monitoring has to be carried out in two stages: (a) Stage-1: Remote monitoring of global damage indicators and inference of the health of the structure. Instrumentation for this stage should be less, simple, but at critical locations to capture the global damage in a reasonable sense. (b) Stage -2: If global indicators show deviation beyond a specified threshold, then a detailed and localized instrumentation and monitoring, with controlled application of static and dynamic loads is to be carried out to infer the health of the structure and take a decision on the repair and retrofit strategies. The thesis proposes the first stage structural health monitoring methodology using natural frequencies and static deflections as damage indicators. The idea is that the stage-1 monitoring has to be done for a large number of bridges and vulnerable structures in a remote and wire-less way and a centralized control and processing unit should be able to number-crunch the in-coming data automatically and the features extracted from the data should help in determining whether any particular bridge warrants second stage detailed investigation. Hence, simple and robust strategies are required for estimating the health of the structure using some of the globally available response data. Identification methodology developed in this thesis is applicable to distributed smeared damage, which is typical of reinforced concrete structures. Simplified expressions and methodologies are proposed in the thesis and numerically and experimentally validated towards damage estimation of typical structures and elements from measured natural frequencies and static deflections. The first-order perturbation equation for a dynamical system is used to derive the relevant expressions for damage identification. The sensitivity of Eigen-value-cumvector pair to damage, modeled as reduction in flexural rigidity (EI for beams, AE for axial rods and Et 12(1 2 )3− μ for plates) is derived. The forward equation relating the changes in EI to changes in frequencies is derived for typical structural elements like simply-supported beams, plates and axial rods (along with position and extent of damage as the other controlling parameters). A distributed damage is uniquely defined with its position, extent and magnitude of EI reduction. A methodology is proposed for the inverse problem, making use of the linear relationship between the reductions in EI (in a smeared sense) to Eigen-values, such that multiple damages could be estimated using changes in natural frequencies. The methodology is applied to beams, plates and axial rods. The performance of this inverse methodology under influence of measurement errors is investigated for typical error profiles. For a discrete three dimensional structure, computationally derived sensitivity matrix is used to solve the damages in each floor levels, simulating the post-earthquake damage scenario. An artificial neural network (ANN) based Radial basis function network (RBFN) is also used to solve the multivariate interpolation problem, with appropriate training sets involving a number of pairs of damage and Eigen-value-change vectors. The acclaimed Cawley-Adams criteria (1979) states that, “the ratio of changes in natural frequencies between two modes is independent of the damage magnitude” and is governed only by the position (or location) and extent of damage. This criterion is applied to a multiple damage problem and contours with equal frequency change ratios, termed as Iso_Eigen_value_change contours are developed. Intersection of these contours for different pairs of frequencies shows the position and extent of damage. Experimental and analytical verification of damage identification methodology using Cawley-Adams criteria is successfully demonstrated. Sensitivity expressions relating the damages to changes in static deflections are derived and numerically and experimentally proved. It is seen that this process of damage identification from static deflections is prone to more errors if not cautiously exercised. Engineering and physics based intuition is adopted in setting the guidelines for efficient damage detection using static deflections. In lines of Cawley-Adams criteria for frequencies, an invariant factor based on static deflections measured at pairs of symmetrical points on a simply supported beam is developed and established. The power of the factor is such that it is governed only by the position of damage and invariant with reference to extent and magnitude of damage. Such a revelation is one step ahead of Caddemi and Morassi’s (2007) recent paper, dealing with static deflection based damage identification for concentrated damage. The invariant factor makes it an ideal candidate for base-line-free measurement, if the quality and resolution of instrumentation is good. A moving damage problem is innovatively introduced in the experiment. An attempt is made to examine wave-propagation techniques for damage identification and a guideline for modeling wave propagation as a transient dynamic problem is done. The reflected-wave response velocity (peak particle velocity) as a ratio of incident wave response is proposed as a damage indicator for an axial rod (representing an end-supported pile foundation). Suitable modifications are incorporated in the classical expressions to correct for damping and partial-enveloping of advancing wave in the damage zone. The experimental results on axial dynamic response of free-free beams suggest that vibration frequency based damage identification is a viable complementary tool to wave propagation. Wavelet-multi-resolution analysis as a feature extraction tool for damage identification is also investigated and structural slope (rotation) and curvatures are found to be the better indicators of damage coupled with wavelet analysis. An adaptive excitation scheme for maximizing the curvature at any arbitrary point of interest is also proposed. However more work is to be done to establish the efficiency of wavelets on experimentally derived parameters, where large noise-ingression may affect the analysis. The application of time-period based damage identification methodology for post-seismic damage estimation is investigated. Seismic damage is postulated by an index based on its plastic displacement excursion and the cumulative energy dissipated. Damage index is a convenient tool for decision making on immediate-occupancy, life-safety after repair and demolition of the structure. Damage sensitive soft storey structure and a weak story structure are used in the non-linear dynamic analysis and the DiPasquale-Cakmak (1987) damage index is calibrated with Park-Ang (1985) damage index. The exponent of the time-period ratio of DiPasquale-Cakmak model is modified to have consistency of damage index with Park-Ang (1985) model.