دانلود مقاله ISI انگلیسی شماره 23375
عنوان فارسی مقاله

ساخت تجزیه و تحلیل هزینه چرخه عمر با توجه به شوک اصلی و پس لرزه وقوع

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
23375 2009 13 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Building life-cycle cost analysis due to mainshock and aftershock occurrences
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Structural Safety, Volume 31, Issue 5, September 2009, Pages 396–408

کلمات کلیدی
شوک اصلی - پس لرزه - هزینه چرخه عمر - پواسون - نوسازی - مارکوف -
پیش نمایش مقاله
پیش نمایش مقاله ساخت تجزیه و تحلیل هزینه چرخه عمر با توجه به شوک اصلی و پس لرزه وقوع

چکیده انگلیسی

The objective of this paper is to develop formal stochastic expected financial loss estimation models over the lifetime of the building due to mainshocks and their subsequent aftershock sequences. Mainshocks are typically modeled as a homogeneous Poisson process with constant mean rate of occurrence, while the resulting aftershocks are modeled as a nonhomogeneous Poisson process with random magnitudes which has parameters (mainshock magnitude, mm, and location) that are conditional on the random mainshock. The initial model to compute expected losses is the simplified homogeneous Poisson mainshock process and nonhomogeneous Poisson aftershock process with “immediate” repair of the building to the initial building state. We then develop a more general Markov and semi-Markov framework where we consider both Poisson and renewal processes for modeling mainshock occurrences with various building damage progression scenarios. Finally, we will incorporate the random aftershock losses into pre-mainshock financial loss estimation. The ability to compute the expected building life-cycle cost due to both mainshocks and aftershocks will be useful as an input to seismic decision making (both post- and pre-mainshock).

مقدمه انگلیسی

Performance-based earthquake engineering (PBEE) has been an area of active research in the United States. The Pacific Earthquake Engineering Research Center (PEER) led an effort to develop a quantitative PBEE methodology which allows stakeholders to make better informed decisions by providing them with probabilistic descriptions of system-level performance metrics, or decision variables (DVs), such as fatalities, financial losses and downtimes. A consistent probabilistic framework is used to explicitly and rigorously quantify the inherent uncertainties and randomness in all variables (see [1] and [2]]). Probabilistic information of DVs can be used by stakeholders to make better seismic-risk related decisions, typically based on an optimization procedure to minimize the expected levels of financial losses, fatalities or downtimes. For example, [3] developed a formulation for rational (pre-mainshock) design criteria. Such a formulation provides a quantitative decision making procedure where we select optimal building designs based on the minimization of expected life-cycle cost, including the initial cost of design and construction and the cost of potential damage and failure during the building’s life-span. Earthquakes are modeled as homogeneous Poisson processes in this study. Similarly, [4] presented a decision methodology based on expected life-cycle cost analysis as well, but they used a renewal model for earthquake occurrences instead. Only mainshocks are considered in both studies. Business disruption financial losses have not been explicitly taken into consideration as well. However, the DVs may also be very dependent on the post-earthquake performance of (possibly mainshock-damaged) buildings in the aftershock environment where there is a significantly increased rate of earthquake occurrence (see [5] and [6]]). The mean rate of aftershocks, which is mainshock-magnitude, mm, dependent, decreases with increasing elapsed time t from the occurrence of the mainshock. Such elements deserve closer scrutiny as aftershocks could potentially pose excessive life-safety threat to building occupants and contribute significantly to financial losses and downtime, especially if the building has suffered structural damage after the mainshock with reduced capacity to resist potential future aftershocks. The ground motions from aftershocks also show the typically high event-to-event variability, implying the potential for larger motions from small magnitudes. The number, size, proximity and variability of aftershocks may represent a significant ground motion hazard. Because of this potential for larger ground motions due to aftershocks, even buildings that have not been damaged by the mainshock have some likelihood of being damaged due to the occurrence of an aftershock. Mainshock-damaged buildings are even more susceptible to incremental damage due to aftershocks because their deteriorated structural capacities reduce the threshold of the ground motion intensity needed to cause further damage. Hence, further financial losses can result from the aftershock sequence that follows the mainshock. The financial losses will include one-time transition costs, or costs from further structural and nonstructural damage to the building due to the occurrence of an earthquake. The transition cost may also include the costs of evacuation of the occupants of a building. The financial losses due to an earthquake also include disruption or downtime costs due to the building’s non-operability or limited functionality. The evacuation of building occupants from a building that has suffered significant structural damage during the mainshock may be necessary which can significantly increase financial losses due to loss of revenue. In some cases, unless the continued functionality of the building is essential to the building owner, it might take 2 years or more before re-opening of the mainshock-damaged building. [7] and [8] have documented examples of such cases of significant business disruption in mainshock-damaged buildings. Because the performance of mainshock-damaged buildings in the aftershock environment may have such a significant impact on the post-quake functionality and economic consequences of an earthquake, aftershock considerations should perhaps also have substantial influence on pre-mainshock decision making. An example of pre-mainshock decision would be whether or not to retrofit prior to the occurrence of a mainshock or whether to expend additional funds to provide a structure with enhanced aftershock performance. Thus, for seismic-risk management, financial losses in terms of transition and disruption losses due to both mainshocks and aftershocks need to be quantified. This information will serve as an input to post-quake decision making and pre-mainshock design decisions that are dependent on the post-quake functionality of structurally damaged buildings. The development of a methodology to compute the expected financial losses due to both aftershocks and mainshocks will be the focus of this paper. We will derive the expected financial losses for both the homogeneous mainshock process as well as the nonhomogeneous aftershock process in the simplified Poisson process model. We will also relax the restrictions of the Poisson model by formulating a method of obtaining the expected financial losses for both the homogeneous mainshock process and the nonhomogeneous aftershock process embedded in the more general Markov process framework to describe the transitions from one building damage state to another. We also consider a (non-Poissonian) renewal mainshock process in the formulation of expected financial losses where we use an arbitrary inter-arrival time distribution for mainshock occurrences. Lastly, we will also incorporate the random aftershock losses into pre-mainshock financial loss estimation to be used as an input to pre-mainshock design analysis. A simple case study is also presented to illustrate the proposed formulation.

نتیجه گیری انگلیسی

We present a sequence of gradually improving financial life-cycle loss models starting from homogeneous Poisson mainshocks and nonhomogeneous Poisson aftershocks to models using renewal processes to describe mainshock occurrences with Markov descriptions of a building’s damage states. We also develop models to estimate pre-mainshock losses by incorporating future aftershock losses from potential future mainshocks. Such financial loss models are important as an input to seismic decision making (both post- and pre-mainshock).

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