热反射技术及其在多年冻土区道路热保护中的应用

热反射技术是一项被广泛应用于建筑物及道路表面降温的主动冷却技术, 国内外很少对此技术在多年冻土区道路热保护方面进行研究。针对多年冻土区气候及工程环境特点, 综述了热反射技术在冻土区道路中的应用现状和研究成果, 阐述了热反射涂层的基本成分、 反射机理和测试方法, 分析了路用热反射涂层的材料性能、 反射效果和路用性能, 简要介绍了热反射涂层在路基边坡应用方面的研究进展。指出在当前条件下利用热反射涂层保护多年冻土区道路所遇到的问题及可行的解决方案, 并在此基础上提出了今后研究的重点： 从材料选择、 理论分析和试验方法入手, 对路用热反射涂层的颜色、 反射性能、 路用性能和区域适用性进行改进和研究, 加强多年冻土区道路热反射涂层的野外试验和分析, 深入研究复杂气候和工程环境下的热反射涂层性能。     

Experimental modelling of the near-field thermal regime in a nuclear-fuel waste disposal vault

Experiments have been performed to study the thermal performance of a backfilled disposal vault in which the waste containers are emplaced in boreholes and surrounded by a bentonitesand buffer.

The near-field thermal regime in a buffer-backfill disposal vault in which the nuclear fuel waste is emplaced in canisters, is studied by one-eight scale experimental models. The thermal performance of the buffer and backfill are examined in a thermal drying environment prior to the ground water recharge of the disposal vault.

The formation of shrinkage cracks in the buffer due to drying and the response of these shrinkage cracks to the rewetting condition and their influence on the near-field thermal regime are assessed.     

Numerical solution of nonlinear equations in chemical speciation calculations

Speciation calculations involve the computation of the concentration of each individual chemical species in a multicomponent–multiphase chemical system. The numerical problem is to solve a system of coupled linear and nonlinear equations subject to the constraint that all unknowns are positive. The performance and accuracy of a series of nonlinear equation solvers are evaluated: A quasi-Newton method with the global step determined by different line search and trust region algorithms, the conjugate gradient method with the global step determined by line search, and the solvers in the codes TENSOLVE, CONMIN and LBFGS.     

Performance of seismically loaded shearwalls on nonlinear shallow foundations

If utilized, the energy dissipative capability of seismically loaded shallow foundations due to inelastic behavior can result in more economic design, provided the consequences, such as excessive deformations are accounted for. In this article, a Beam‐on‐Nonlinear‐Winkler‐Foundation (BNWF) model is used to assess the performance of shearwall‐foundation systems with different attributes, when subjected to ground motions of varied hazard levels. The numerical study indicates that the force and drift demands to the shearwall reduce significantly, when nonlinear foundation behavior is realized, while permanent settlement is well below the permissible limit. These results support the concept of shallow foundation capacity mobilization in future design. Copyright © 2010 John Wiley & Sons, Ltd.     

青藏铁路多年冻土区普通路基热状况监测分析

基于现场地温监测数据,选取年平均地温不同的监测断面对青藏铁路普通路基的热状况进行分析,包括多年冻土上限变化及其地温变化、下伏多年冻土温度变化、原天然地表附近热收支等方面. 结果表明：在低温多年冻土区,路基下部多年冻土上限均有所提升,且新近形成的人为上限较为稳定,冷季时负温积累显著;路基下伏多年冻土总体热稳定性较好. 而在高温多年冻土区,左（阳坡）路肩下部多年冻土上限多表现为下降,右（阴坡）路肩下部多年冻土上限有升有降,但是新近形成的上限均温度较高且有进一步升温的趋势;与天然场地地温相比,路基下部多年冻土均出现一定的升温. 尤其在高温极不稳定多年冻土区,天然场地多年冻土自身处于吸热升温状态;路基修筑后,下部多年冻土已经出现了融化夹层及双向退化的情况,路基热稳定性较差. 对于普通路基来说,由于青藏高原强烈的太阳辐射及青藏铁路总体走向原因,普通阴阳坡效应显著,左、右路肩下部多年冻土热稳定性差异较大.     

Application of a Hill-Climbing technique to the formulation of a new cyclic nonlinear elastic constitutive model

In the field of constitutive modelling of soil behaviour, optimisation techniques have been mostly employed as a calibration tool, particularly when several model parameters lack clear physical meaning. In this paper, however, a procedure based on a Hill-Climbing optimisation algorithm is presented as a form of improving the performance of constitutive models. Specifically, a simple cyclic nonlinear elastic model, which is shown to be unable to simulate adequately the damping ratio measured under small and large strain amplitudes, is modified by applying the Hill-Climbing technique to the determination of a new relationship describing the unloading/reloading behaviour of soil under cyclic loading. The performance of the proposed model is assessed by evaluating its parameters based on three distinct sets of empirical damping ratio curves and computing the corresponding error in their simulation. It is shown that the introduction of the new unloading/reloading expression formulated based on the outcome of the optimisation procedure increases substantially the precision of the constitutive model.     

Pushover and nonlinear time history analysis evaluation of a RC building collapsed during the Van (Turkey) earthquake on October 23, 2011

The nonlinear seismic behavior of a collapsed reinforced concrete (RC) residential building in the city of Van in Turkey is investigated by the static pushover and nonlinear time history analyses. The selected RC structure was designed according to the 1975 version of Turkish Earthquake Code (TEC-1975). The building had experienced heavy damage, and it was demolished in the Van earthquake on October 23, 2011. The 2007 version of Turkish Earthquake Code (TEC-2007) is considered for the assessing seismic performance evaluation of the selected RC building. The RC structure presents collapse performance level under the earthquake loads. Besides, the analytical solutions show that different performance levels for the sections are obtained from the pushover and nonlinear time history methods.     

Effects of regional groundwater flow on the performance of an aquifer thermal energy storage system under continuous operation

Numerical investigations and a thermohydraulic evaluation are presented for two-well models of an aquifer thermal energy storage (ATES) system operating under a continuous flow regime. A three-dimensional numerical model for groundwater flow and heat transport is used to analyze the thermal energy storage in the aquifer. This study emphasizes the influence of regional groundwater flow on the heat transfer and storage of the system under various operation scenarios. For different parameters of the system, performances were compared in terms of the temperature of recovered water and the temperature field in the aquifer. The calculated temperature at the producing well varies within a certain range throughout the year, reflecting the seasonal (quarterly) temperature variation of the injected water. The pressure gradient across the system, which determines the direction and velocity of regional groundwater flow, has a substantial influence on the convective heat transport and performance of aquifer thermal storage. Injection/production rate and geometrical size of the aquifer used in the model also impact the predicted temperature distribution at each stage and the recovery water temperature. The hydrogeological-thermal simulation is shown to play an integral part in the prediction of performance of processes as complicated as those in ATES systems.     

改进的非线性徐变模型及其在混凝土坝施工期温度应力仿真分析中的应用

在目前的混凝土坝温度应力仿真计算分析中,一般采用弹性徐变模型考虑施工期混凝土徐变对温度应力的影响。当坝体内的温度应力比较小时,采用弹性徐变模型计算温度应力是可行的,但当坝体的温度应力超过相应龄期的抗拉强度一半时,混凝土的徐变变形不再与坝体的应力呈线性关系,而是呈现出剧烈的非线性变化趋势。温度应力与抗拉强度越接近,相应的非线性徐变变形越大。根据已有的混凝土徐变试验成果,提出了一个用于混凝土坝施工期温度应力仿真计算的混凝土非线性徐变模型,给出了相应的计算方法。算例表明,采用传统的弹性徐变模型与提出的非线性徐变模型计算的温度应力存在一定的差别,采用传统弹性徐变模型计算的温度应力偏大。     

南方地区城市生活垃圾导热系数的试验研究

温度场对垃圾填埋场的衬垫系统、气体运移和垃圾土工程特性等存在显著影响,导热系数是研究填埋场内温度场的重要参数。以台州卢岙里垃圾填埋场为研究对象,采用DRCD-3030型智能化导热系数测定仪,测定了不同孔隙率和含水率条件下的垃圾导热系数。试验中,垃圾试样的含水率分别取0%、5%、10%、15%、20%、25%、30%、35%、40%、45%和50%;垃圾的孔隙率分别取77.8%、75.0%、71.4%和66.7%。试验结果表明：干垃圾导热系数较小,仅为标准状态空气导热系数的2.5～3.5倍,并随孔隙率的增大而减小;非饱和垃圾的导热系数随含水率的增加而增大,当含水率相等时,孔隙率越小,垃圾的导热系数越大。根据垃圾导热系数的实测数据,利用修正几何加权平均模型和线性拟合技术,建立了垃圾导热系数的计算公式,可以为垃圾填埋场温度场的研究提供重要参考。     

深层含水层地下储热技术的发展现状与展望

深层含水层储热是一种利用深度>500 m的深层含水层作为储热介质的储热技术,储热对象通常为50~150 ℃的热水。它通过地下水井从深层含水层中抽取和灌入地下水,实现热能储存和回收。深层含水层储热技术是弥补能源供需时空分布的不平衡,综合利用多种可再生能源,实现节能减排的有效途径,是国内外研究的前沿和热点。文中首先阐述了深层含水层储热系统在世界范围内的历史发展,归纳储热系统的热工性能,在总结前人研究工作的基础上分析影响其热回收效率的关键参数,并对各个参数对热回收效率的敏感性做了综述。在此基础上,本文还讨论了限制深层含水层储热系统发展的技术瓶颈,并针对系统的经济效益和市场潜力做了预测和展望。     

沉积泥砂非线性大变形固结沉降计算模型

沉积形成的水底黏性泥砂自重固结过程表现出显著非线性大变形固结特征,应采用大变形固结理论进行泥砂沉积固结计算。基于软黏土一维非线性大应变固结理论,应用有效应力、渗透系数与孔隙比间扩展幂次函数固结本构关系,由达西定律、有效应力原理、连续介质方程等建立大变形固结控制方程,根据固结单元孔隙水渗流、单元变形与泥砂沉积层固结沉降耦合关系形成黏性泥砂大变形自重固结数值模型。泥砂自重作为固结荷载,数值模型假定沉积泥砂各向同性且固结沉降应变、孔隙水渗流仅发生于竖直方向,为一维单向沉积固结过程;采用泥砂沉降柱试验确定泥砂非线性扩展幂次函数关系参数。模型应用中,划分竖向固结单元,由沉积泥砂固结本构关系确定各固结单元有效应力及超孔隙水应力,通过超孔隙水应力时间维度上的消散过程及各固结参数间的耦合关系计算泥砂固结沉降。数值模型计算结果表明,沉积黏性泥砂自重固结初期表现为有效应力调整过程,初始有效应力与孔隙比根据固结本构关系匹配调整为扩展幂次函数关系;沉积泥砂应变与应力固结度存在20%左右误差,泥砂固结沉降发展快于超孔隙水应力消散过程,证明沉积泥砂固结沉降变形的发展与超孔隙水应力消散并非同步耦合。计算模型应用于室内沉降柱试验模拟淤积黏性泥砂自重固结沉降预测中,模型输出与试验结果符合良好。     

A new bounding surface model for thermal cyclic behaviour

To accurately predict soil volume changes under thermal cycles is of great importance for analysing the performance of many earth structures such as the energy pile and energy storage system. Most of the existing thermo‐mechanical models focus on soil behaviour under monotonic thermal loading only, and they are not able to capture soil volume changes under thermal cycles. In this study, a constitutive model is proposed to simulate volume changes of saturated soil subjected to cyclic heating and cooling. Two surfaces are defined and used: a bounding surface and a memory surface. The bounding surface and memory surface are mainly controlled by the preconsolidation pressure (a function of plastic volumetric strain) and the maximum stress experienced by the soil, respectively. Under thermal cycles, the distance of the two surfaces and plastic modulus increase with an accumulation of plastic strain. By adopting the double surface concept, a new elastoplastic model is derived from an existing single bounding surface thermo‐mechanical model. Comparisons between model predictions and experimental results reveal that the proposed model is able to capture soil volume changes under thermal cycles well. The plastic strain accumulates under thermal cycles, but at a decreasing rate, until stabilization. Copyright © 2017 John Wiley & Sons, Ltd.     

聚晶金刚石复合片残余热应力的影响因素

残余热应力是影响聚晶金刚石复合片(PDC)性能好坏的最重要因素之一。考虑聚晶金刚石层(PCD)与硬质合金层厚度比以及PDC压制过程中烧结温度的波动对聚晶金刚石复合片残余热应力的影响,在ANSYS中建立PDC模型,运用热-结耦合法分析PDC的残余热应力。计算表明,随着PCD层与硬质合金层厚度比由0.067增加到0.333,PCD层表面中心的压应力由1.61 GPa降低到380 MPa,PCD层最大径向压应力由1.61 GPa降低1.03 GPa左右,而PCD层边缘靠近界面附近最大轴向拉应力逐渐增大;随着PDC压制过程中烧结温度由1000℃升高到1500℃,PCD层的最大径向压应力、最大轴向拉应力以及最大剪应力等均逐渐增大。认为,在研究PDC合成新工艺过程中,应在保证PDC使用寿命的前提下尽量降低PCD层与硬质合金层厚度比;必须尽量切断原材料以及人为操作对温度的影响。      

水蒸气增湿非饱和黄土热湿迁移规律研究

温度梯度、含水率梯度和压力梯度对非饱和土体中的水热迁移有重要影响。用非饱和黄土填筑室内模型,通入0.10MPa高温水蒸气,研究蒸汽压梯度、温度梯度和含水率梯度耦合作用下的水热迁移规律。结果表明:在水蒸气迁移范围之内,土体的升温速率、增湿速率和增湿程度较大,以蒸汽传热和压力梯度驱动的水蒸气增湿为主。而在水蒸气未到位置,以温度梯度引起的热传导和含水率梯度与温度梯度耦合驱动的水热迁移为主;水蒸气迁移时,受土颗粒阻碍和蒸汽压消散的影响,土体升温速率、增湿速率和温度传导速率均随径向距离的增大而减小,且增湿速率小于升温速率;水蒸气增湿土体的最大含水率接近最优含水率,增湿效果较好,可有效提高一定范围内土体的压实性能;基于模型试验边界条件,确定含湿毛细多孔介质中二维热湿迁移方程的一组代数显式特解,并以20 cm测点为例,将温度和含水率实测值和计算值进行对比分析。研究结果可为非饱和黄土水-汽-热耦合传输规律和水蒸气增湿新技术研究提供理论支持。     

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

Understanding rock material characterizations and solving relevant problems are quite difficult tasks because of their complex behavior, which sometimes cannot be identified without intelligent, numerical, and analytical approaches. Because of that, some prediction techniques, like artificial neural networks (ANN) and nonlinear regression techniques, can be utilized to solve those problems. The purpose of this study is to examine the effects of the cycling integer of slake durability index test on intact rock behavior and estimate some rock properties, such as uniaxial compressive strength (UCS) and modulus of elasticity (E) from known rock index parameters using ANN and various regression techniques. Further, new performance index (PI) and degree of consistency (Cd) are introduced to examine the accuracy of generated models. For these purposes, intact rock dataset is established by performing rock tests including uniaxial compressive strength, modulus of elasticity, Schmidt hammer, effective porosity, dry unit weight, p‐wave velocity, and slake durability index tests on selected carbonate rocks. Afterward, the models are developed using ANN and nonlinear regression techniques. The concluding remark given is that four‐cycle slake durability index (I_d4) provides more accurate results to evaluate material characterization of carbonate rocks, and it is one of the reliable input variables to estimate UCS and E of carbonate rocks; introduced performance indices, both PI and Cd, may be accepted as good indicators to assess the accuracy of the complex models, and further, the ANN models have more prediction capability than the regression techniques to estimate relevant rock properties. Copyright © 2011 John Wiley & Sons, Ltd.     

Temperature dependence of the relationship of thermal diffusivity versus thermal conductivity for crystalline rocks

Thermal diffusivity governs the transient heat transport equation. Thus, a realistic characterisation of this parameter and its temperature dependence is crucial for geothermal modelling. Due to sparse information from boreholes, lack of samples, and elaborate measurement procedures, there is often insufficient data on thermal diffusivity at elevated temperatures. We make use of existing data on crystalline (metamorphic and magmatic) rock samples from the Kola Peninsula and the Eastern Alps and develop a general relationship for the temperature dependence of thermal diffusivity up to 300°C. The temperature dependence of thermal conductivity is parameterised itself, using an empirical relationship which is set up for both data sets as well. Hence, only thermal conductivity at ambient temperatures is required for determining the temperature dependence of thermal diffusivity. We obtain different coefficients for both data sets which can be explained by different geological settings, and therefore different mineral compositions and internal structures. Comparisons with other expressions for these rock physical parameters show a good agreement at ambient conditions. General relations for thermal diffusivity at elevated temperatures are rare. A comparison of our results with data from two crystalline samples from the KTB and data from the Southern Indian Granulite Province highlights the need for further data, which will help to quantify uncertainties.     

On-line estimation of nonlinear physical systems

Recursive algorithms for estimating states of nonlinear physical systems are presented. Orthogonality properties are rediscovered and the associated polynomials are used to linearize state and observation models of the underlying random processes. This requires some key hypotheses regarding the structure of these processes, which may then take account of a wide range of applications. The latter include streamflow forecasting, flood estimation, environmental protection, earthquake engineering, and mine planning. The proposed estimation algorithm may be compared favorably to Taylor series-type filters, nonlinear filters which approximate the probability density by Edgeworth or Gram-Charlier series, as well as to conventional statistical linearization-type estimators. Moreover, the method has several advantages over nonrecursive estimators like disjunctive kriging. To link theory with practice, some numerical results for a simulated system are presented, in which responses from the proposed and extended Kalman algorithms are compared.