Application Strategies of Shotcrete Anchor Support Technology in Highway Bridge and Tunnel Engineering

This article analyzes the application strategies of shotcrete anchor support technology using a highway bridge-tunnel construction project as an example.The article covers various strategies,including support plan formulation,mortar shotcrete anchor construction,grid steel frame construction,steel mesh construction,and concrete support construction.This analysis aims to provide a guideline for those interested in applying this technology and improving the quality and safety of highway bridges and tunnels construction.

The future of underground spatial planning and the resulting potential risks from the point of view of mining subsidence engineering

The topic of ground movements in Germany has been studied extensively in the past,especially in the field of active mines.The active hard coal mines in Germany were finally shut down in 2018 and lignite mining is expected to take place only until 2038.The so-called long-term liabilities of the mine operators in Germany include,among other things,the long-term guarantee of stability and thus the monitoring of ground motion.So far,the economic use of underground mining in Germany was mainly the supply of raw materials.In the future,the underground storage of compressed air,methane or hydrogen will play an important role in renewable energy supply and climate change.Therefore,the underground storage space will become more important and the spatial planning is essential to ensure availability of safe underground openings for the various options of environmentally friendly energy storage.However,this renewed usage of underground openings may also bring new and sometimes unknown challenges of geomechanical influence.The aftermath of hard coal and lignite mining will be an increasing challenge in mining subsidence engineering.On the other hand,new possibilities due to underground spatial planning may lead to subsidence and/or heaving of the upper surface.

Feature Based Machining Process Planning Modeling and Integration for Life Cycle Engineering

Machining process data is the core of computer aided process planning application systems.It is also provides essen- tial content for product life cycle engineering.The character of CAPP that supports product LCE and virtual manufacturing is an- alyzed.The structure and content of machining process data concerning green manufacturing is also examined.A logic model of Machining Process Data has been built based on an object oriented approach,using UML technology and a physical model of machin- ing process data that utilizes XML technology.To realize the integration of design and process,an approach based on graph-based volume decomposition was apposed.Instead,to solve the problem of generation in the machining process,case-based reasoning and rule-based reasoning have been applied synthetically.Finally,the integration framework and interface that deal with the CAPP integration with CAD,CAM,PDM,and ERP are discussed.

PRODUCT MODELING AND PROCESS PLANNING WITHIN CONCURRENT ENGINEERING ENVIRONMENT

A prodouct modeling and a process planning that are two essential basses of realizing concurrent engineering are investigated , a logical modeling technique , grammar representation scheme of technology knowledge and architecture of expert system for process planning within con- current engineering environment are proposed. They have been utilized in a real reaserch project.

Multilevel hierarchical production planning architecture for engineer-to-order enterprises

The critical materials and critical parts are keys to the production at Engineer to Order (ETO) enterprises implies that the control of plans for critical materials and critical parts is essential to the control of all plans at ETO enterprises. A mixed mode of hierarchical network planning/MRP (NP/MRP) is proposed to generate network plans for critical materials or critical parts from project networks and the plans for non critical parts produced by MRP are constrained by the related project networks. The multilevel hierarchical network planning/MRP mixed planning (MHNM) architecture proposed is the extension of the hierarchical NP/MRP to the supply chain based on the temporal constraints of multilevel project networks for critical materials or critical parts. A general model is formulated for scheduling tasks on machines at work centers as well.

Training Plan for Software Engineering Top Talents Based on the Demand for High-end Talents in the Industry

The paper illustrates the reason of the lack of talents with outstanding innovative practice ability and engineering leadership has become a great obstacle for many industries, represented by the software industry, to develop along with the new era, and restricted the evolution of these industries toward the high end. With the target of training talents with innovation capacity and engineering leadership, the training plan for top talents based on the demand for high-end talents in the software engineering industry is put forward, and analyses are given on significant aspects including the development of the training resource system, the screening of students and the selection of enterprises, the teaching staff construction for university-enterprise cooperation, the establishment of a management system with joint effort for talents development, and the construction of process quality guarantee mechanism. In the end, for the implementation of the training plan, it is pointed out that the university-enterprise cooperative development mechanism should be perfected, the talents development practice should be enhanced, the personalized training of students should be emphasized, and the innovative ability in practice and the engineering leadership of students should be practically improved.

基于ArcGIS Engine的乡镇区域洪灾应急路径规划和制图系统设计与实现

近年来,极端天气引起的洪涝灾害频繁发生,给人民生命财产安全造成巨大威胁。乡镇区域由于基础设施不够完善、应急救援信息化建设相对薄弱,是人员、经济损失最为严重的区域。针对上述问题,基于ArcGIS Engine设计并开发了乡镇区域洪灾应急路径规划和制图系统,通过设计灾区信息查询、道路更新、救援路径规划、应急地图制图和灾情统计等功能,优化救援路径规划方案,提高应急地图制图效率,为乡镇区域洪灾应急救援提供支持和服务。

System Design and Implementation of Intelligent Fire Engine Path Planning based on SAT Algorithm

In this paper, in order to make intelligent fi re car complete autonomy path planning in simulation map. Proposed system design of intelligent fi re car path planning based on SAT. The system includes a planning module, a communication module, a control module. Control module via the communication module upload the initial state and the goal state to planning module. Planning module solve this planning solution,and then download planning solution to control module, control the movement of the car fi re. Experiments show this the system is tracking short time, higher planning effi ciency.

Fair Plan 9: Engineering Human Population to Help Safeguard Earth’s Climate

Our Fair Plan to Safeguard Earth’s Climate reduces the emission of greenhouse gases to zero over the 80-year time period 2020 to 2100. To accomplish this, humanity must reduce its carbon intensity—the amount of CO2 emitted per unit of energy—and its energy intensity—the amount of energy needed to generate a unit of Gross World Product. As shown in our Fair Plan 8 paper, reducing the future growth of the human population can also contribute to the reduction in greenhouse-gas emissions. Here, we explore this further. We project the historical decrease in Total Fertility Rate (TFR) across the 21st century toward its logistical asymptotic Reference value of 2.04 Births Per Woman (BPW). We then engineer the asymptotic TFR beginning in 2020 to 1.95, 1.85, 1.75, 1.65 & 1.55 BPW. We project the population across the 21st century for the Reference and engineered TFRs. We do so using the results of Basten, Lutz and Scherbov (2013) for the population evolution across the 21st century for 8 constant TFR values (=2.50, 2.25, 2.00, 1.75, 1.50, 1.25, 1.00 & 0.75 BPW). We find that purposefully engineering the asymptotic TFR can significantly contribute to achieving the reduction in greenhouse-gas emissions needed to transition to our Fair Plan to Safeguard Earth’s Climate.

Application of the Engineering-Geological Conditions in Land-Use Plans in the Petrvald Region(Czech Republic)

The objective of this paper is to demonstrate necessity to inform relevant parties about engineering-geological conditions for various practical purposes, especially including appropriate land-use planning. However, the relationship between relevant geological information and the geological environment is vital for foundation engineering purposes, especially where demanding structures are involved. This information is most conveniently structured when accumulated information concerning engineering-geological zones is utilized. This necessarily includes knowledge of rock workability and also of the pre-Quaternary bedrock, and these characteristics were then related to the current built-up area and future development according to the land-use plans in a case study are from the Petrvald Region （Czech Republic）. The geological environment of area has been severely influenced by anthropogenic effects of deep black coal mining. Results of this research showed that future development should be founded on spoil banks, dumps, and settling basins. According to the land-use plan, this zone occupies 44.9% of the area of interest, and its materials predominantly emanate from mining in the Ostrava-Karvina Coal District. For future foundation structures planned there, it is imperative to consult detailed engineering-geological study. However, attention to and reliance on this necessity is not reflected in the existing land-use plan.

基于ArcGIS Engine的城市绿地生态网络智能规划系统研发与实证

针对现有城市绿地生态网络构建方法复杂多样、常用软件功能单一、规划支撑效果有限等问题,研发了城市绿地生态网络智能规划系统。将保护生物多样性、提升功能连接度作为城市尺度绿地生态网络构建的核心目标,统筹其他生态与社会服务功能,梳理和综合图论、生境质量评价、最小累积阻力模型和电路理论等生态网络模拟和分析方法,基于NET平台,采用ArcGIS Engine、C#、Python等技术,通过GIS二次开发方式实现系统各项功能,并以上海市闵行区为对象进行了实证分析。结果表明,系统可自动执行生态源地筛选、综合阻力面构建、生态廊道路径提取、生态廊道宽度确定、生态网络效能评价等技术环节,一键生成城市绿地生态网络布局结构,并实现不同情景的对比分析,为规划实践提供多情景、可视化的辅助决策。

Saturation attack based route planning and threat avoidance algorithm for cruise missiles

According to the characteristic of cruise missiles,navigation point setting is simplified,and the principle of route planning for saturation attack and a concept of reference route are put forward.With the help of the shortest-tangent idea in route-planning and the algorithm of back reasoning from targets,a reference route algorithm is built on the shortest range and threat avoidance.Then a route-flight-time algorithm is built on navigation points.Based on the conditions of multi-direction saturation attack,a route planning algorithm of multi-direction saturation attack is built on reference route,route-flight-time,and impact azimuth.Simulation results show that the algorithm can realize missiles fired in a salvo launch reaching the target simultaneously from different directions while avoiding threat.

An Intelligent Master Model of Computer Aided Process Planning for Large Complicated Stampings

Process planning for large complicated stampings is more complicated, illegible and multiform than that for common stampings. In this paper, an intelligent master model of computer aided process planning （CAPP） for large complicated stampings has been developed based on knowledge based engineering （KBE） and feature technology. This innovative model consists of knowledge base （KB）, process control structure （PCS）, process information model （PIM）, multidisciplinary design optimization （MDO）, model link environment （MLE） and simulation engine （SE）, to realize process planning, optimization, simulation and management integrated to complete intelligent CAPP system. In this model, KBE provides knowledge base, open architecture and knowledge reuse ability to deal with the multi-domain and multi-expression of process knowledge, and forms an integrated environment. With PIM, all the knowledge consisting of objects, constraints, cxtmricncc and decision-makings is carried by object-oriented method dynamically for knowledge-reasoning. PCS makes dynamical knowledge modified and updated timely and accordingly. MLE provides scv. cral methods to make CAPP sysmm associated and integrated. SE provides a programmable mechanism to interpret simulation course and result. Meanwhile, collaborative optimization, one method of MDO, is imported to deal with the optimization distributed for multiple purposes. All these make CAPP sysmm integrated and open to other systems, such as dic design and manufacturing system.

A mathematical model for open pit mine production scheduling with Grade Engineering and stockpiling

This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering framework.Grade Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable(i.e.high-grade)and undesirable(i.e.low-grade or uneconomic)materials and ensure the delivery of only selected quantity of high quality(or high-grade)material to energy,water,and cost-intensive processing plant.The model maximizes the net present value under a range of operational and processing constraints.Given that the proposed model is computationally complex,the authors employ a data preprocessing procedure and then evaluate the performance of the model at several practical instances using computation time,optimality gap,and the net present value as valid measures.In addition,a comparison of the proposed and traditional(without Grade Engineering)models reflects that the proposed model outperforms the traditional formulation.

CDIO Based Optimization of Urban Planning Personnel Training Courses in Forestry Universities

On the basis of analyzing existing course system of urban planning discipline,this paper came up with a framework for optimization of urban planning personnel training mode and course system,oriented towards training practical engineering personnel and based on CDIO engineering education and teaching platform. Then it made empirical study on setting of the urban planning discipline in Northeast Forestry University. It proposed changing the original "3 + 2" course system,exploring and optimizing the course system,improving teaching effect of urban planning personnel training courses,and raising planning and design ability of students.

Nonlinear Characteristics of Systems and Its Application in Urban Planning DSS

This paper is devoted to analyzing nonlinear characteristics of complex systems. Since traditional linear system methods need to be improved, a nonlinear computational mathematics methods should be introduced to system engineering researches. Due to the lack of complete nonlinear theory, we suggest human intelligence be combined with calculating capacity of computer.Thereafter, a tentative ideal on an urban planning DSS with man-computer integration is proposed.

Engineering Intelligent Racing Concepts Using Design Research Methods

The automotive seat market is positioned to significantly grow over the next five years. Research into how sensor implementation in every day driver cars can enhance driver wellness is becoming increasingly popular and visible in the automotive seat industry. However, in the competitive race car industry,?drivers prioritize driving ability over wellness. To further examine this phenomenon, the Human-Machine Interaction?Lab at the Georgia Institute of Technology took a unique approach to developing strong use cases for implementing sensor technology to improve driving ability for race car drivers by combining qualitative and quantitative research data obtained through modern design research and planning methodology. Following a process relying heavily on user-centered design methods, the authors developed a business case concept?for?a sensor-based seat accessory that acts as a competitive racer’s?driving coach?that is able to identify the mechanics of braking, turning, and accelerating through pressure sensors in the driver’s seat pan surface. This technology allows drivers to precisely understand when and how hard to brake, turn, or accelerate out of turns, thus reducing heat times and financial burden for drivers.

Consideration of Postgraduate Training under the Cross Field of Medical Information and Engineering

The slogan of“Combination of medicine and engineering”proposed in“Made in China 2025”has aroused great attention to higher engineering education.However,it is a difficult problem and challenge for schools and educators to effectively adapt to the economic and social development,train new medical and engineering talents,and explore and cultivate new subject growth points.In order to deal with engineering change and a new round of scientific and technological revolution,facing the challenge of new engineering construction.This paper will combine the reality and characteristics of colleges and universities,analyze the problems existing in the current medical engineering cross-graduate training,and put forward countermeasures and suggestions to promote the progress and development of science and technology in colleges and universities.

Models and Methods for Urban Power Distribution Network Planning

The models, methods and their application experiences of a practical GIS(geographic information system)-based computer decision-making support system of urban power distribution network planning with seven subsystems,termed CNP,are described.In each subsystem there is at least one or one set of practical mathematical methobs.Some new models and mathematical methods have been introduced.In the development of CNP the idea of cognitive system engineering has been insisted on,which claims that human and computer intelligence should be combined together to solve the complex engineering problems cooperatively.Practical applications have shown that not only the optimal plan can be automatically reached with many complicated factors considered, but also the computation,analysis and graphic drawing burden can be released considerably.

REVERSE ENGINEERING BASED ON COMPUTER VISION FOR FREE FORM SURFACE

The key issues such as vision sensor, sampling planning are studied for reverse engineering. For the developed sensor, the low sensitivity to the incident angle and the high linearity between the output and the input are carried out. During digitizing, the adaptive sampling planning method based on the curvature of surface and the slope of tangent line of measured point is proposed. After integrating the vision sensor, CNC milling and relevant software, the reverse engineering system based on computer vision is developed. The experiment shows that this system is reliable and efficient.