Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 455

Conference Videos 25

Conference Information 2

Year

2024 1

2023 42

2022 38

2021 53

2020 26

2019 23

2018 25

2017 16

2016 23

2015 23

2014 14

2013 17

2012 15

2011 22

2010 19

2009 26

2008 11

2007 18

2006 12

2005 6

open ︾

Keywords

structure 12

Community structure 4

Microbial community structure 4

steel structure 4

Crystal structure 3

aircraft structure 3

durability 3

fatigue life 3

synthesis 3

ANSYS 2

Additive manufacturing 2

DSM (design structure matrix) 2

High-throughput sequencing 2

Porous structure 2

additive manufacturing 2

concrete structure 2

conservation 2

convolutional neural network 2

corrosion 2

open ︾

Search scope:

排序： Display mode:

Mesoscopic properties of dense granular materials: An overview

Qicheng SUN, Feng JIN, Guohua ZHANG

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 1-12 doi: 10.1007/s11709-013-0184-z

Abstract: In this paper, the underlying physics of the mesoscale structure is discussed in detail.

Keywords： granular matter macroscopic structure jamming phase transition

HTML PDF Collect

Computational modeling of fracture in concrete: A review

Luthﬁ Muhammad Mauludin, Chahmi Oucif

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3, Pages 586-598 doi: 10.1007/s11709-020-0573-z

Abstract: literature review, there are two main approaches considered to-date of concrete fracture modeling, such as macroscopicTwo different approaches both of macroscopic and micromechanical models will be reviewed.

Keywords： concrete fracture macroscopic micromechanical heterogeneity

HTML PDF Collect

Phase I Construction of the TPG——Macro Decision-Making

Peng Qiyou

Strategic Study of CAE 2004, Volume 6, Issue 5, Pages 83-86

Abstract:

In this paper, the dominance of the state-owned enterprise and current situation in ferms of project management are analysed on the basis of the sum up of phase I construction management of the TGP. From the view point of the change of the way of thinking and the deepening of internal reform of enterprise, some of concrete suggestions for enhancing the project management are given in the paper.

Keywords： phase I construction project management macroscopic decision—making

HTML PDF Collect

Qian Xuesen and China's Space Undertakings

Zhao Shaokui

Strategic Study of CAE 2001, Volume 3, Issue 8, Pages 7-14

Abstract: lively examples, expounds the outstanding contributions of Academician Qian Xuesen in the initiation and macroscopic

Keywords： space science and technology macroscopic design technique decision organization management the project

HTML PDF Collect

Modeling of alkali-silica reaction in concrete: a review

J.W. PAN, Y.T. FENG, J.T. WANG, Q.C. SUN, C.H. ZHANG, D.R.J. OWEN

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1, Pages 1-18 doi: 10.1007/s11709-012-0141-2

Abstract: The modeling includes theoretical approaches, meso- and macroscopic models for ASR analysis.The macroscopic models, chemo-mechanical coupling models, have been generally developed by combining

Keywords： alkali-silica reaction (ASR) modeling concrete mesoscopic macroscopic

HTML PDF Collect

Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1419-1

Abstract:

• Pore structure affects biologically activated carbon performance.

Keywords： Granular activated carbon Biologically activated carbon filter Bacterial community structure Porestructure

HTML PDF Collect

Hierarchical fractal structure of perfect single-layer graphene

T. Zhang, K. Ding

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 371-382 doi: 10.1007/s11465-013-0279-1

Abstract:

The atomic lattice structure of perfect single-layer graphene that can actually be regarded as a kindof hierarchical fractal structure from the perspective of fractal geometry was studied for the firstThree novel and special discoveries on hierarchical fractal structure and sets were unveiled upon examinationThe interior fractal-type structure was discovered to be the fifth space-filling curve from physicalA fundamental example of a multi-fractal structure was also presented.

Keywords： hierarchical fractal structure fractal dimension the fifth space-filling curve multi-fractal structure

HTML PDF Collect

Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1111-1127 doi: 10.1007/s11709-021-0757-1

Abstract: A novel floating breakwater-windbreak structure (floating forest) has been designed for the protectionThe modular arch-shaped concrete structure is positioned perpendicularly to the direction of the prevailingThe structure below the water surface acts as a porous breakwater with wave scattering capability.

Keywords： floating structure breakwater windbreak hydrodynamic CFD

HTML PDF Collect

Bicontinuous porous membranes with micro-nano composite structure using a facile atomization-assisted

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 8, Pages 1268-1280 doi: 10.1007/s11705-022-2143-5

Abstract: The micro-nano composite structure can endow separation membranes with special surface properties, butusing this method, a bicontinuous porous microfiltration membrane with robust micro-nano composite structureThe formation mechanism of the micro-nano composite structure was proposed.

Keywords： atomization nonsolvent induced phase separation bicontinuous porous structure micro-nano compositestructure oil-water separation

HTML PDF Collect

Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 462-465 doi: 10.1007/s11465-009-0073-2

Abstract: self-diagnosing system in health monitoring has become an important direction of smart materials and structurethe requirement of damage detection by analyzing digital signals and character signals of the smart structurepaper investigates an optic fiber smart layer and presents a method for realizing optic fiber smart structureAfter the analysis, it is presumed that optic fiber smart structure monitoring based on granular computation

Keywords： smart material and structure GrC optical fiber sensor rough set clustering algorithm

HTML PDF Collect

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure infrastructures visual inspection convolutional neural network artificial intelligence

HTML PDF Collect

Catalyst particle shapes and pore structure engineering for hydrodesulfurization and hydrodenitrogenation

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6, Pages 897-908 doi: 10.1007/s11705-021-2127-x

Abstract: Catalyst particle shapes and pore structure engineering are crucial for alleviating internal diffusion

Keywords： hydrodesulfurization hydrodenitrogenation particle shape pore structure

HTML PDF Collect

Vibration analysis of blade-disc coupled structure of compressor

WANG Chunjie, SONG Shunguang, ZONG Xiao

Frontiers in Energy 2008, Volume 2, Issue 3, Pages 302-305 doi: 10.1007/s11708-008-0064-8

Abstract: While a 3D assembly model of blade-disc structure was established, a finite element model for calculatingThe vibration characteristics of the blade-disc coupling structure was calculated and analyzed usingThe modeling experiment shows that this method is feasible for analyzing the rabbet assembly structure

Keywords： blade-disc coupling assembly experiment vibration blade-disc structure

HTML PDF Collect

Construction of digital 3D magic-cube organization structure for innovation-driven manufacturing

Frontiers of Engineering Management Pages 373-390 doi: 10.1007/s42524-022-0237-x

Abstract: This study proposes a three-dimensional (3D) magic-cube organizational structure, considering the product

Keywords： innovation manufacturing 3D magic-cube organization structure coordination

HTML PDF Collect

PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 418-422 doi: 10.1007/s11465-010-0117-7

Abstract: The PID controller is used to control a nonlinear time-variant membrane structure inflation system.Results show that the neural network PID controller can adapt to the changes in system structure parameters

Keywords： PID neural network membrane structure