The effects of data aggregation on long-term projections of forest stands development

Forest management planning often relies on Airborne Laser Scanning(ALS)-based Forest Management Inventories(FMIs)for sustainable and efficient decision-making.Employing the area-based(ABA)approach,these inventories estimate forest characteristics for grid cell areas(pixels),which are then usually summarized at the stand level.Using the ALS-based high-resolution Norwegian Forest Resource Maps(16 m×16 m pixel resolution)alongside with stand-level growth and yield models,this study explores the impact of three levels of pixel aggregation(standlevel,stand-level with species strata,and pixel-level)on projected stand development.The results indicate significant differences in the projected outputs based on the aggregation level.Notably,the most substantial difference in estimated volume occurred between stand-level and pixel-level aggregation,ranging from-301 to+253 m^(3)·ha^(-1)for single stands.The differences were,on average,higher for broadleaves than for spruce and pine dominated stands,and for mixed stands and stands with higher variability than for pure and homogenous stands.In conclusion,this research underscores the critical role of input data resolution in forest planning and management,emphasizing the need for improved data collection practices to ensure sustainable forest management.

Assessing cutter-rock interaction during TBM tunnelling in granite:Large-scale standing rotary cutting tests and 3D DEM simulations

The widespread utilisation of tunnel boring machines(TBMs)in underground construction engineering requires a detailed investigation of the cutter-rock interaction.In this paper,we conduct a series of largescale standing rotary cutting tests on granite in conjunction with high-fidelity numerical simulations based on a particle-type discrete element method(DEM)to explore the effects of key cutting parameters on the TBM cutter performance and the distribution of cutter-rock contact stresses.The assessment results of cutter performance obtained from the cutting tests and numerical simulations reveal similar dependencies on the key cutting parameters.More specifically,the normal and rolling forces exhibit a positive correlation with penetration but are slightly influenced by the cutting radius.In contrast,the side force decreases as the cutting radius increases.Additionally,the side force shows a positive relationship with the penetration for smaller cutting radii but tends to become negative as the cutting radius increases.The cutter's relative effectiveness in rock breaking is significantly impacted by the penetration but shows little dependency on the cutting radius.Consequently,an optimal penetration is identified,leading to a low boreability index and specific energy.A combined Hertz-Weibull function is developed to fit the cutter-rock contact stress distribution obtained in DEM simulations,whereby an improved CSM(Colorado School of Mines)model is proposed by replacing the original monotonic cutting force distribution with this combined Hertz-Weibull model.The proposed model outperforms the original CSM model as demonstrated by a comparison of the estimated cutting forces with those from the tests/simulations.The findings from this work that advance our understanding of TBM cutter performance have important implications for improving the efficiency and reliability of TBM tunnelling in granite.

Optimization models of stand structure and selective cutting cycle for large diameter trees of broadleaved forest in Changbai Mountain

The optimum models of harvesting yield and net profits of large diameter trees for broadleaved forest were developed, of which include matrix growth sub-model, harvesting cost and wood price sub-models, based on the data from Hongshi Forestry Bureau, in Changbai Mountain region, Jilin Province, China. The data were measured in 232 permanent sample plots. With the data of permanent sample plots, the parameters of transition probability and ingrowth models were estimated, and some models were compared and partly modified. During the simulation of stand structure, four factors such as largest diameter residual tree （LDT）, the ratio of the number of trees in a given diameter class to those in the next larger diameter class （q）, residual basal area （RBA） and selective cutting cycle （C） were considered. The simulation results showed that the optimum stand structure parameters for large diameter trees are as follows： q is 1.2, LDT is 46cm, RBA is larger than 26 m^2 and selective cutting cycle time （C） is between 10 and 20 years.

Studies on stand dynamic growth model for larch in Jilin in China

The stand growth and yield dynamic models for Larch in Jilin Province were developed based on the forest growth theories with the forest continuous inventory data. The results indicated that the developed models had high precision, and they could be used for the updating data of inventory of planning and designing and optimal decision of forest management.

Contact Analysis and Modeling of Standing Wave Linear Ultrasonic Motor

A contact model for describing the contact mechanics between the stator and slider of the standing wave linear ultrasonic motor was presented. The proposed model starts from the assumption that the vibration characteristics of the stator is not affected by the contact process. A modified friction models was used to analyze the contact problems. Firstly, the dynamic normal contact force, interface friction force, and steady-state characteristics were analyzed. Secondly, the influences of the contact layer material, the dynamic characteristics of the stator, and the pre-load on motor performance were simulated. Finally, to validate the contact model, a linear ultrasonic motor based on in-plane modes was used as an example. The corresponding results show that a set of simulation of motor performances based on the proposed contact mechanism is in good agreement with experimental results. This model is helpful to understanding the operation principle of the standing wave linear motor and thus contributes to the design of these types of motor.

A review of stand basal area growth models

Growth and yield modeling has a long history in forestry. The methods of measuring the growth of stand basal area have evolved from those developed in the U.S.A. and Germany during the last century. Stand basal area modeling has progressed rapidly since the first widely used model was published by the U.S. Forest Service. Over the years, a variety of models have been developed for predicting the growth and yield of uneven/even-aged stands using stand-level approaches. The modeling methodology has not only moved from an empirical approach to a more ecological process-based approach but also accommodated a variety of techniques such as： 1） simultaneous equation methods, 2） difference models, 3） artificial neural network techniques, 4） linear/nonlinear regression models, and 5） matrix models. Empirical models using statistical methods were developed to reproduce accurately and precisely field observations. In contrast, process models have a shorter history, developed originally as research and education tools with the aim of increasing the understanding of cause and effect relationships. Empirical and process models can be married into hybrid models in which the shortcomings of both component approaches can, to some extent, be overcome. Algebraic difference forms of stand basal area models which consist of stand age, stand density and site quality can fully describe stand growth dynamics. This paper reviews the current literature regarding stand basal area models, discusses the basic types of models and their merits and outlines recent progress in modeling growth and dynamics of stand basal area. Future trends involving algebraic difference forms, good fitting variables and model types into stand basal area modeling strategies are discussed.

Numerical Modelling of Standing Waves with Three-Dimensional Non-Linear Wave Propagation Model

Based on the theoretical high-order model with a dissipative term for non-linear and dispersive wave in water of varying depth, a 3-D mathematical model of non-linear wave propagation is presented. The model, which can be used to calculate the wave particle velocity and wave pressure, is suitable to the complicated topography whose relative depth (d/lambda(0), ratio of the characteristic water depth to the characteristic wavelength in deep-water) is equal to or smaller than one. The governing equations are discretized with the improved 2-D Crank-Nicolson method in which the first-order derivatives are corrected by Taylor series expansion, And the general boundary conditions with an arbitrary reflection coefficient and phase shift are adopted in the model. The surface elevation, horizontal and vertical velocity components and wave pressure of standing waves are numerically calculated. The results show that the numerical model can effectively simulate the complicated standing waves, and the general boundary conditions possess good adaptability.

Comparison of the Chapman-Richards Function with the Schnute Model in Stand growth

The Chapman-Richards Function and its two exception cases in applications were discussed and compared with the Schnute model in stand growth studies. Compared from all perspective, it was found that the Schnute model commonly used in foreitry was identical to the Chapman-Richards function. If some parameter in the Chapman-Richdrds Function was unconstraint, the function could also be very versatile to fit some exceptional growth curves, the fitted function should be identical to that the Schnute model.

Physical modeling of behaviors of cast-in-place concrete piled raft compared to free-standing pile group in sand

Similar to free-standing pile groups, piled raft foundations are conventionally designed in which the piles carry the total load of structure and the raft bearing capacity is not taken into account. Numerous studies indicated that this method is too conservative. Only when the pile cap is elevated from the ground level,the raft bearing contribution can be neglected. In a piled raft foundation, pileesoileraft interaction is complicated. Although several numerical studies have been carried out to analyze the behaviors of piled raft foundations, very few experimental studies are reported in the literature. The available laboratory studies mainly focused on steel piles. The present study aims to compare the behaviors of piled raft foundations with free-standing pile groups in sand, using laboratory physical models. Cast-in-place concrete piles and concrete raft are used for the tests. The tests are conducted on single pile, single pile in pile group, unpiled raft, free-standing pile group and piled raft foundation. We examine the effects of the number of piles, the pile installation method and the interaction between different components of foundation. The results indicate that the ultimate bearing capacity of the piled raft foundation is considerably higher than that of the free-standing pile group with the same number of piles. With installation of the single pile in the group, the pile bearing capacity and stiffness increase. Installation of the piles beneath the raft decreases the bearing capacity of the raft. When the raft bearing capacity is not included in the design process, the allowable bearing capacity of the piled raft is underestimated by more than 200%. This deviation intensifies with increasing spacing of the piles.

Modeling of kinetic characteristics of alkaline-surfactant-polymer-strengthened foams decay under ultrasonic standing wave

Foaming issues are encountered at the stages in crude oil production, transportation, processing, especially in chemical flooding enhanced oil recovery(EOR) oilfields. These accumulated foams would cause a lot of trouble for downstream operation. The destruction of foams under ultrasonic has been increasingly paying attention in the background of green oilfield development. This study focuses on the decay kinetic characteristics of alkaline-surfactant-polymer-strengthened foams under the ultrasonic standing wave.The performance of the diverse foams was characterized. A decay kinetic model incorporating the energy correlation was developed and validated. The factors that affect the decay kinetic characteristics were discussed. The results indicated that the collapse rate and the collapse volume fraction decreased when the foam size decreased, the gas-liquid ratio decreased and the surface tension increased. Ultrasonic standing wave parameters have a significant impact on the decay behavior of the foam. Both the ultrasonic frequency and ultrasonic amplitude were increased by 50%, the collapse volume fraction of foams increased by about 1.25 times in the identical irradiation time. The relative deviation between the measured results and the model prediction was less than 10%. The potential collapse mechanism was also explained using the principle of energy correlation of foam surface. This study is not only beneficial to provide a robust and rigorous way to defoam of produced liquid in the alkaline/surfactant/polymer(ASP)flooding EOR process but also meaningful to well understand the decay process of oil-based foams.

Uniaxial compressive behaviour of a FRP standing support made of mine wastes

Twenty-seven specimens were tested to investigate the uniaxial compression behaviour of an innovative standing support for underground space applications.The innovative standing support consisted of an external fibre reinforced polymer(FRP)jacket and the infill column made of cementitious grout,tailings and coal wash rejects.Effects of the FRP layers number and water to the cementitious grout(w/g)ratio were evaluated.Test results indicated that lower w/g ratios produced stronger infill columns.With FRP confinement,the standing support demonstrated strain-hardening loading characteristics with a significant improvement in both strength and ductility.The highest strength and strain of the specimens achieved was 58.4 MPa and 11.8%respectively.Compared with the unconfined specimens,the confinement with four FRP layers increased the specimen strength and associated strain up to 3.6 and 27.0 times respectively.A correlation between the compressive strength of the infill material and the ultrasonic pulse velocity was also investigated.Furthermore,a simple design-oriented model was proposed to predict the peak strength and the corresponding strain of the innovative standing support.

湖北杉木人工林生物量及其可变密度预估模型研究

利用6~59年生杉木人工林190个标准地资料和517株样木生物量测定数据,以建立的单木生物量估算方程为基础推算出各林分单位面积生物量,并基于林龄、立地指数以及7种不同林分密度指标构建并选择最优的全林分生物量预估方程,研究湖北杉木人工林林分生物量及其变化规律。结果表明:该区域杉木人工林平均单株生物量为52.8893 kg,以胸径和树高为变量的二元单木生物量方程的拟合优度为0.91,其拟合优度和精度更高;林分平均单位面积生物量为101.4923 t/hm^(2),总体上呈随林龄增加而增大的趋势;基于多元回归技术的经验方程构建了含7个林分密度指标和不含密度指标共计16种林分生物量预估模型,包含林分立木株数和林木大小信息的林分密度指标的模型均达到了较理想的拟合效果,其中密度指数SDI的Schumacher修正收获模型精度最高,确定系数为0.95,检验精度为97%,对本区域杉木生物量估算具有较好的适用性,能为其人工林经营和质量提升提供参考与支持。

驻波型直线超声波电机接触特性有限元建模与分析

超声波电机接触摩擦是影响电机性能的关键环节,建立超声波电机的接触模型对电机性能优化具有重要作用。现有对驻波型超声波电机接触问题的研究,大多采用解析法,需要采用较多的简化假设,难以准确反映电机实际结构及真实接触情况。针对这一问题,采用有限元法,对驻波型直线超声波电机接触特性进行建模和分析。首先,考虑定子复合结构,建立定子三维有限元模型,分析定子在外加电压作用下的振动响应,得到定子振动位移表达式。在此基础上,考虑定子与动子的结构和接触特点,建立定、动子接触三维有限元模型。基于所建立的模型,分析了定、动子的接触状态、接触压力分布,并研究了驱动电压大小和预压力变化对接触特性和电机性能的影响。最后,搭建试验测试平台,测量了电机的输出特性,并与理论计算值进行对比,对比结果验证了所建立的定、动子三维有限元接触模型。

油茶织蛾幼虫生态学特性及其发生测报研究

【目的】油茶织蛾(Casmara patrona)是油茶上的重要枝干害虫,油茶织蛾的危害发生与生态因子关系密切,掌握该害虫蛀食危害的生态学特性及其测报模型,可为害虫监测预警及生态控制提供理论依据。【方法】通过2017—2022年这6年对江西主要油茶基地油茶织蛾幼虫蛀食危害情况的系统调查,运用“步进”法逐步回归分析,分析油茶林林分、气象、食物等三个方面的17个生态因子对油茶织蛾幼虫的发生程度(发生量)的影响。【结果】林分郁闭度x_(9)、坡向x_(6)、密度x_(10)、植被覆盖度x_(11)、林缘林内x_(8)、树龄x_(1)等6个因子是影响油茶林有虫株率的主要林分因子,而主林层郁闭度、坡向则是2个关键林分因子,应用回归模型(y=58.468–14.223x_(9)–49.637x_(6)–0.024x_(10)+0.124x_(11)–4.340x_(8)+0.066x_(1))可对油茶织蛾幼虫危害的发生程度进行预测。在其他因子具备的条件下,4月和5月的平均温度是2个关键气象因子,最佳预测模型为y=3.262x_(41)+0.524x_(51)–50.137,经检验,该模型预报准确率达97.05%,说明该模型是可靠的。生物因素(食物)也是影响油茶织蛾发生的主要因素,不同的油茶品种,油茶织蛾幼虫发生危害程度(有虫株率)存在显著差异,在11个江西油茶主栽品种中,抗虫性较强的是长林180号,受害较重的是长林166号和长林27号。【结论】主林层郁闭度、坡向、4月平均气温、5月平均气温是影响油茶织蛾有虫株率的关键因子,构建的预测预报模型可对油茶织蛾幼虫危害的发生程度进行准确预测。

点云密度对无人机激光雷达森林参数估测精度的影响

[目的]点云密度是影响无人机激光雷达数据获取和预处理成本和效率的关键因素,探明点云密度对林分尺度无人机激光雷达森林参数估测精度的影响,有助于优化无人机激光雷达森林应用技术方案。[方法]以马尾松、桉树人工林为研究对象,采用百分比重采样方法,对密度为247点·m^(-2)的原始点云按40%、20%、8%、4%和2%的比例降低点云密度,得到1个全密度原始点云数据集和5个稀疏密度点云数据集;每个数据集独立进行点云分类、地面点滤波和数字高程模型生成、点云高度归一化等预处理并提取激光雷达变量;对于同一森林类型的同一个森林参数(林分蓄积量、断面积、平均高和平均直径)的估测,各个数据集都采用相同的乘幂模型结构式进行模型拟合,然后比较分析模型优度统计指标的差异,包括:决定系数(R^(2)),相对根方根误差(rRMSE)和平均预报误差(MPE);采用配对样本t检验方法对各个数据集的森林参数估测结果和激光变量的差异进行统计分析。[结果]当点云密度分别稀疏至100、50、…、5点·m^(-2)时,各个森林参数估测模型的精度保持基本一致;各个稀疏密度点云数据集的森林参数估测值的均值与原始点云数据集的估测值的均值不存在显著性差异(p≥0.05);各个稀疏密度点云数据集激光变量的均值和原始点云数据集激光变量的均值基本上不存在显著性差异(p>0.05)。[结论]在无人机激光雷达森林资源调查监测应用中,点云密度可低至5点·m^(-2)。然而,本试验结果仍需通过不同飞行高度获取不同密度点云数据予以验证。

基于LiToSim平台的金属围护结构软件研发

直立咬合金属围护结构在风荷载作用下易发生风揭破坏,目前缺少能数值模拟金属围护结构的等效节点模型以及有限元分析软件.该文首先根据围护结构的非线性风致响应提出了直立咬合金属围护结构的弹塑性等效弹簧节点模型,并推导出了弹塑性等效弹簧单元的有限元算法;然后将算法嵌入平台LiToSim中,研发出了金属围护结构的定制化软件LiToSpr;最后建模分析了结构响应,并与抗风揭实验对比,验证了定制化软件LiToSpr的适用性.软件LiToSpr能够模拟直立咬合金属围护结构的非线性风致响应,为工程设计提供一定参考.

包含哑变量的大兴安岭天然白桦林碳密度模型

以内蒙古地区牙克石林业管理局的大兴安岭天然白桦林(Betula platyphylla)为研究对象,利用198块样地数据分析天然白桦林林分碳密度与各林分变量之间的关系,建立碳密度预测基础模型,同时将立地条件(草类白桦林、杜鹃-越桔白桦林、榛子白桦林)作为哑变量引入到预测模型中,对不同林型的林分碳密度进行预测,为林业研究中碳密度模型的构建以及森林碳汇工作提供思路和方法。结果表明,天然白桦林林分碳密度基础模型决定系数(R^(2))为0.703,均方根误差(RMSE)为8.615 t/hm^(2),赤池信息量(Akaike information criterion,AIC)为841.206,贝叶斯信息量(Bayesian Information Criterion,BIC)为851.071。引入立地条件哑变量后,R^(2)有所增大,最大达到0.818,RMSE均小于等于8.241 t/hm^(2),说明模型具有较好的稳定性,预估参数较为精确。哑变量模型的AIC均小于等于541.431,BIC均小于等于550.320。哑变量模型能够反映不同立地条件下碳密度的变化,在模型的拟合和检验方面都显示适合于研究地区林分碳密度的预测,为天然白桦林碳密度估算提供参考。

基于声学参数的OGFC沥青混合料吸声性能优化

多孔材料吸声系数的唯象模型考虑了声波在空隙结构中传播产生的能量耗散,构建基于声学参数的模型,可对吸声系数进行较好的预测。为了准确获取OGFC沥青混合料的5个声学参数(孔隙率、流阻率、曲折因子、黏性/热效特征长度)以构建声学模型,首先,通过实测与反演结合的方法制备了不同孔隙率、不同级配类型的OGFC沥青混合料,使用驻波管测试了吸声系数;其次,开发了适用于混合料的流阻率测量设备,利用实测的空隙率、吸声系数和流阻率,基于遗传算法编写反演程序对OGFC的曲折因子、黏性/热效特征长度进行反演;再次,建立驻波管的有限元模型验证了声学参数的正确性,分析了声学参数单因素对吸声性能的影响;最后,基于声学参数对吸声性能进行了优化。结果表明:OGFC的空隙率越高和公称最大粒径越大,平均吸声系数和峰值吸声系数均越大;所构建的模型能够较好体现混合料的吸声特性,峰值吸声系数及出现的频率与实测值吻合;空隙率、黏性特征长度和热效特征长度增大,以及曲折因子减小,均有利于提高吸声性能,根据声学参数对混合料吸声性能的优化结果,最佳的吸声性能应将空隙率控制在22%左右。

西南桦立木生物量模型的研建

基于2019—2020年在云南省境内采集并测定的157株西南桦立木生物量(其中地上生物量106株、全树生物量51株),建立地上、地下生物量一元(二元)独立模型W=a×D^(b)、W=a×D^(b)×HC,并采用相容性生物量模型建立西南桦地上总生物量与树枝、树叶、树干各分项生物量之和相容的西南桦立木生物量模型,采用根茎比建立地下生物量模型。结果表明:对于西南桦地上生物量,一元、二元模型分别选用权函数W=1/(D^(2))、W=1/(D^(2)H),对于西南桦地下生物量,一元、二元模型分别选用权函数W=1/(D^(0.5))、W=1/(D^(0.5)H^(0.5)),进行加权回归求解模型参数,可明显减小异方差影响及提高模型稳定性;相容性生物量模型解决了立木树枝、树叶、树干等分项生物量之和与地上总生物量不相等问题;从评价指标来看,西南桦地上总生物量和树干生物量模型预估精度均在94%以上;树枝、树叶生物量模型预估精度在92%以上,地下生物量模型预估精度在87%以上。总之,各模型预估精度均达到了国家相关精度要求;研究成果可应用于西南桦生物量的估算。

马尾松组培苗幼林胸径和树高分布特征

收集营造于广西派阳山林场的7年生马尾松组培苗试验林的胸径和树高生长数据,对林分胸径分布、树高分布、树高—胸径关系进行测定分析,利用数学模型分别进行拟合和回归模拟,求解模型参数并通过χ^(2)法进行检验,使用决定系数(R^(2))、均方根误差(RMSE)和F值进行综合评价,以筛选最优模型。结果表明:马尾松组培苗试验林的胸径偏度系数(sk)>0,胸径峰度系数(k)<0;树高偏度系数(sk)<0,树高峰度系数(k)<0;表明林分内林木竞争较为激烈,林木胸径和树高离散程度较大,可适度间伐对林分结构进行调整。试验林胸径分布和树高分布最优模型均为peal-reed模型,决定系数(R^(2))均在0.98以上,均方根误差(RMSE)为1.64~5.69,F值为62.57~684.68。在4个候选模型中,非线性模型h=1.3+d^(2)/(c0+c_(1)d+c^(2)d^(2))对林分胸径—树高关系模拟效果最好,其决定系数(R^(2))、均方根误差(RMSE)、F值分别为0.94、0.2711、65.85。筛选的3个模型对试验林胸径和树高生长变化具有较好的预测能力,可为相同立地条件和经营措施下马尾松无性系人工林经营管理提供参考。