Earthquake‐induced structural response output‐only identification by two different Operational Modal Analysis techniques

Output‐only system identification is developed here towards assessing current modal dynamic properties of buildings under seismic excitation. Earthquake‐induced structural response signals are adopted as input channels for two different Operational Modal Analysis (OMA) techniques, namely, a refined Frequency Domain Decomposition (rFDD) algorithm and an improved Data‐Driven Stochastic Subspace Identification (SSI‐DATA) procedure. Despite that short‐duration, non‐stationary, earthquake‐induced structural response signals shall not fulfil traditional OMA assumptions, these implementations are specifically formulated to operate with seismic responses and simultaneous heavy damping (in terms of identification challenge), for a consistent estimation of natural frequencies, mode shapes, and modal damping ratios. A linear ten‐storey frame structure under a set of ten selected earthquake base‐excitation instances is numerically simulated, by comparing the results from the two identification methods. According to this study, best up‐to‐date, reinterpreted OMA techniques may effectively be used to characterize the current dynamic behaviour of buildings, thus allowing for potential Structural Health Monitoring approaches in the Earthquake Engineering range.     

Probabilistic modeling of ship powering performance using full-scale operational data

The energy efficiency of ocean-going vessels can be increased through various operational considerations, such as improved cargo arrangements and weather routing. The first step toward the goal of maximizing the energy efficiency is to analyze how the ship's powering performance changes under different operational settings and weather conditions. However, existing analytical models and empirical methods have limitations in reliably estimating the powering performance of full-scale ships in real operating conditions. In this study, machine learning techniques are employed to estimate the powering performance of a full-scale ship by constructing regression models using the ship's operational data. In order to minimize the risk of overfitting in the regression process, domain knowledge based on physical principles is combined into the regression models. Also, the uncertainty of the estimated performance is evaluated with consideration of the environmental uncertainties. The obtained regression models can be used to predict the ship speed and engine power under different operational settings and weather conditions.     

基于区域分解算法的地下水耦合模型及其应用

根据岩体中不同区域裂隙发育规模的差异分为连续区域和离散区域,在不同区域中使用不同的地下水运动数学模型,应用区域分解算法来解决这类问题。其中连续区域采用了等效连续介质模型,离散区域采用了随机裂隙网络模型,通过区域公共边界上水位和流量连续的条件将两模型耦合求解。将基于区域分解算法的耦合模型应用于锦屏水电站坝址区三维渗流场的模拟中,通过钻孔观测水位和计算水位的对比发现,该方法是有效的,能够应用于实际工程。     

扩展剑桥模型参数的优化选择及其应用

在有限元计算中合理选取土的本构关系与模型参数,对于计算成果的可靠性是十分重要的。剑桥模型是一个应用广泛的弹塑性模型,其参数一般是通过室内试验来确定的。通过建立扩展剑桥模型在三轴条件下的弹塑性本构关系的表达式,并以此为依据,利用数值模拟常规三轴试验和单向压缩试验过程并利用正反分析技术优化求解剑桥模型参数,在小浪底大坝固结计算的应用中证明了这种方法的合理性与实用性。     

西准噶尔走滑断裂系元素分布特征及其成矿意义

我国新疆西北部西准噶尔走滑断裂构造体系(简称"西准系")是中亚造山带巴尔喀什马蹄形构造的向东延伸部分,由于中生代成吉思-准噶尔断裂的右行走滑断裂作用而被分成了两个部分。西准系是一个多米诺式的走滑断裂构造体系,主要由达拉布特断裂、玛依勒断裂、巴尔鲁克断裂等三条NE走向的左行走滑断裂及其夹在它们之间的地块所组成,可能是晚古生代与走滑断裂相关的陆条弯曲(褶皱)作用的产物。同时,西准噶尔地区也是重要的晚古生代成矿带,产出有一些大型和超大型的金属矿床,包括包古图斑岩铜矿、哈图金矿、萨尔托海铬铁矿和杨庄铍矿床等。本文分析了西准系走滑断裂构造与元素分布之间的关系。结果显示,西准噶尔成矿带元素与地球化学块体以及铜、金、钼、铬铁矿等矿床的分布,均受晚古生代西准系的形成与演化过程的控制。其中,庙尔沟、红山岩体与金地球化学块体之间的反对称分布特征,说明了花岗岩类侵入体和金元素在达拉布特断裂左行走滑过程中发生了重要的物质调整与迁移作用。庙尔沟岩体的逆时针旋转运动,造成了环状断裂与裂隙系统,以及与之相对应的Cu、Pb等元素风火轮式的分布形式。走滑断裂作用与岩体旋转运动的共同结果,导致了金元素沿断裂和裂隙的迁移与成矿,使得西准地区金矿床在断裂和裂隙中的发育。断裂构造体系与元素地球化学异常之间的关系,可以用来有效指导西准地区未来矿产资源的勘查。     

On the influence of physical parameterisations and domains configuration in the simulation of an extreme precipitation event

At daybreak and late morning of 18th of February 2008 Lisbon and Setúbal have been under the influence of a heavy rain event. This period was simulated by two operational WRF model set ups running for Portugal at the University of Aveiro in two different horizontal and vertical resolution and physical parameterisations. These two model configurations were tested for the described precipitation event in terms of microphysics and cumulus parameterisation and also in their domain configuration setup. Results suggest that the combination of cumulus and microphysics schemes is very important in the prediction of the amounts of precipitation. A small change in domain resolution has more impact in the spatial patterns of precipitation rather than in the amounts predicted.     

Diagnostic Study of Global Energy Cycle of the GRAPES Global Model in the Mixed Space-Time Domain

Some important diagnostic characteristics for a model’s physical background are reflected in the model’s energy transport, conversion, and cycle. Diagnosing the atmospheric energy cycle is a suitable way towards understanding and improving numerical models. In this study, formulations of the “Mixed Space-Time Domain”energy cycle are calculated and the roles of stationary and transient waves within the atmospheric energy cycle of the Global-Regional Assimilation and Prediction System （GRAPES） model are diagnosed and compared with the NCEP analysis data for July 2011. Contributions of the zonal-mean components of the energy cycle are investigated to explain the performance of numerical models. The results show that the GRAPES model has the capability to reproduce the main features of the global energy cycle as compared with the NCEP analysis. Zonal available potential energy （AZ） is converted into stationary eddy available potential energy （ASE） and transient eddy available potential energy （ATE）, and ASE and ATE have similar values. The nonlinear conversion between the two eddy energy terms is directed from the stationary to the transient. AZ becomes larger with increased forecast lead time, reflecting an enhancement of the meridional temperature gradient, which strengthens the zonal baroclinic processes and makes the conversion from AZ to eddy potential energy larger, especially for CAT （conversion from AZ to ATE）. The zonal kinetic energy （KZ） has a similar value to the sum of the stationary and transient eddy kinetic energy. Barotropic conversions are directed from eddy to zonal kinetic energy. The zonal conversion from AZ to KZ in GRAPES is around 1.5 times larger than in the NCEP analysis. The contributions of zonal energy cycle components show that transient eddy kinetic energy （KTE） is associated with the Southern Hemisphere subtropical jet and the conversion from KZ to KTE reduces in the upper tropopause near 30？S. The nonlinear barotropic conversion between stationary     

Domain adaptation for land use classification: A spatio-temporal knowledge reusing method

Land use classification requires a significant amount of labeled data, which may be difficult and time consuming to obtain. On the other hand, without a sufficient number of training samples, conventional classifiers are unable to produce satisfactory classification results. This paper aims to overcome this issue by proposing a new model, TrCbrBoost, which uses old domain data to successfully train a classifier for mapping the land use types of target domain when new labeled data are unavailable. TrCbrBoost adopts a fuzzy CBR (Case Based Reasoning) model to estimate the land use probabilities for the target (new) domain, which are subsequently used to estimate the classifier performance. Source (old) domain samples are used to train the classifiers of a revised TrAdaBoost algorithm in which the weight of each sample is adjusted according to the classifier’s performance. This method is tested using time-series SPOT images for land use classification. Our experimental results indicate that TrCbrBoost is more effective than traditional classification models, provided that sufficient amount of old domain data is available. Under these conditions, the proposed method is 9.19% more accurate.     

Determination of the 3D structure of an earthflow by geophysical methods: The case of Super Sauze, in the French southern Alps

In order to evaluate the risk associated by an earthflow to abruptly evolve into a torrential flow, the knowledge of its internal structure is necessary. Geotechnical methods are important to reach this goal. However, because of the rough topography associated with earthflows, their surface heterogeneities, and the spatial variations of the thickness of the potentially moving mass, non-intrusive geophysical methods offer a very useful tool that complements traditional geotechnical methods. We report the results of a comprehensive study covering a 150 m by 200 m area of the Super Sauze earthflow. This earthflow developed in black marls in the southern French Alps. Shallow electrical conductivity investigations, derived using low frequency domain electromagnetics, maps hidden gullies and crests and lateral variations of the clay and the water content within the first 5 m below the ground surface. Electrical resistivity tomography allows to extrapolate this information down to 10 m below the ground surface along selected transects. The vertical structure of the earthflow, down to the substratum, is defined precisely thanks to joint inversion of DC and TDEM vertical soundings along one profile: the flowing upper layer and the position of the substratum are clearly evidenced. Combining this geophysical datasets with geotechnical tests and drill holes, we provide an estimate of both the location and the volume of the potentially most dangerous areas of the earthflow.     

Scale dependent dynamic capillary pressure effect for two-phase flow in porous media

Causes and effects of non-uniqueness in capillary pressure and saturation (P^c–S) relationship in porous media are of considerable concern to researchers of two-phase flow. In particular, a significant amounts of discussion have been generated regarding a parameter termed as dynamic coefficient (τ) which has been proposed for inclusion in the functional dependence of P^c–S relationship to quantify dynamic P^c and its relation with time derivative of saturation. While the dependence of the coefficient on fluid and porous media properties is less controversial, its relation to domain scale appears to be dependent on artefacts of experiments, mathematical models and the intra-domain averaging techniques. In an attempt to establish the reality of the scale dependency of the τ–S relationships, we carry out a series of well-defined laboratory experiments to determine τ–S relationships using three different sizes of cylindrical porous domains of silica sand. In this paper, we present our findings on the scale dependence of τ and its relation to high viscosity ratio (μ_r) silicone oil–water system, where μ_r is defined as the viscosity of non-wetting phase over that of the wetting phase. An order of magnitude increase in the value of τ was observed across various μ_r and domain scales. Also, an order of magnitude increase in τ is observed when τ at the top and the bottom sections in a domain are compared. Viscosity ratio and domain scales are found to have similar effects on the trend in τ–S relationship. We carry out a dimensional analysis of τ which shows how different variables, e.g., dimensionless τ and dimensionless domain volume (scale), may be correlated and provides a means to determine the influences of relevant variables on τ. A scaling relationship for τ was derived from the dimensionless analysis which was then validated against independent literature data. This showed that the τ–S relationships obtained from the literature and the scaling relationship match reasonably well.