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Development of realistic design fire time-temperature curves for the testing of cold-formed steel wall

Anthony Deloge ARIYANAYAGAM,Mahen MAHENDRAN

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 427-447 doi: 10.1007/s11709-014-0279-1

Abstract: of light gauge steel frame (LSF) wall systems is obtained from fire tests based on the standard fire time-temperatureIt includes a review of the characteristics of building fires, previously developed fire time-temperatureThe paper highlights that real building fire time-temperature curves depend on the fuel load representingFinally, realistic design fire time-temperature curves simulating the fire conditions in modern residential

Keywords: fire safety     standard fire curve     realistic design fire time-temperature curves     light gauge steel frame    

Phase separation time/temperature dependence of thermoplastics-modified thermosetting systems

ZHANG Xiujuan, XU Yuanze, YI Xiaosu

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 3,   Pages 276-285 doi: 10.1007/s11705-008-0057-5

Abstract: (UCST) or lower critical solution temperature (LCST) were studied with emphasis on the temperature dependencyof the phase separation time and its potential application in the cure time-temperature processing windowWe found that the phase separation time/temperature relationship follows the simple Arrhenius equationWith the established phase separation time-temperature dependence relation, we can easily establish thewhole cure time-temperature transformation (TTT) diagram with morphology information which is a useful

Keywords: separation time-temperature     temperature dependency     cure-induced     separation activation     temperature    

Real-time tool condition monitoring method based on temperature measurement and artificial neural network

Frontiers of Mechanical Engineering doi: 10.1007/s11465-021-0661-3

Abstract: processes often cause severe damages of workpieces and lead to large quantities of loss, making tool conditionHere, a real-time tool condition monitoring method integrated in an in situ fiber optic temperatureintermittent cutting experiment is carried out, verifying that the apparatus can capture the rapid but slight temperatureFurthermore, an application program with a graphical user interface is constructed to present real-time

Keywords: tool condition monitoring     cutting temperature     neural network     learning rate adaption    

Research on strength developing law during the curing of domestic epoxy asphalt mixture

Qian Zhendong,Wang Yaqi and Shen Jialin

Strategic Study of CAE 2012, Volume 14, Issue 5,   Pages 90-95

Abstract:

Based on the mechanism of strength, the reserved time and curing temperatureepoxy asphalt mixture are studied as the influencing factors of strength, and the range of reserved time

Keywords: epoxy asphalt     strength increasing     time-temperature condition     curing model    

Research on the Quasi-static and Dynamic Properties and Constitutive Relation of Carbon Fiber-reinforced Phenolic Composite

Zhang Tai,Wang Xiaojun,Wang Zhihai,Guo Yang,Wang Yuanbo

Strategic Study of CAE 2006, Volume 8, Issue 5,   Pages 63-68

Abstract: The results show that the material is rate-dependent and temperature-dependent.The influence of temperature on the constitutive equation is remarkable, and its effects can be describedby the material parameters related to temperature.Based on the consideration that the responses of the material to reducing strain rate and raising temperatureare similar, the time-temperature equivalent law is investigaled and the corresponding equivalent curve

Keywords: carbon fiber-reinforced phenolic composite     dynamic properties     viscoelasticity     constitutive model     time-temperature    

Applicability of the Arrhenius model for Ammonia Oxidizing Bacteria subjected to temperature time gradients

Alberto MANNUCCI,Giulio MUNZ,Gualtiero MORI,Claudio LUBELLO,Jan A. OLESZKIEWICZ

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 988-994 doi: 10.1007/s11783-014-0751-0

Abstract: for Ammonia Oxidizing Bacteria (AOB) subjected to temperature time gradients through continuous titrimetrictime gradients.titrimetric reactor in the temperature range 10°C–20°C.The dependence of growth kinetics on temperature time gradients and the range of applicability of Arrheniusmodel for temperature dependency of AOB growth kinetics were assessed.

Keywords: nitrification rate     temperature effect     continuous titrimetric tests     time-gradient temperature variations    

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuriesamong children and adolescents in China: a time-stratified case-crossover study

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1705-1

Abstract:

● A study assessing the temperature-injury relationship was conducted

Keywords: Ambient temperature     Fall     Road traffic injury     Student     China    

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 191-204 doi: 10.1631/FITEE.1400305

Abstract: Condition monitoring ensures the safety of freight railroad operations.With the development of machine vision technology, visual inspection has become a principal means of conditionThis paper presents a novel method for automated visual inspection of the BSK condition in freight carsIn the last stage, a condition classifier is trained by SVM, but the features are extracted from grayachieves a correct inspection rate of 99.2% and a speed of 5 frames/s, which represents a good real-time

Keywords: Condition monitoring     Feature expression     Brake shoe key     Machine vision    

Achieving High Strength and Tensile Ductility in Pure Nickel by Cryorolling with Subsequent Low-TemperatureShort-Time Annealing

Zhide Li,Hao Gu,Kaiguang Luo,Charlie Kong,Hailiang Yu,

Engineering doi: 10.1016/j.eng.2023.01.019

Abstract: In this study, cryorolling under different strains followed by low-temperature short-time annealing wasThe results show that the synergistic effect of strength and ductility can be regulated through low-temperatureshort-time annealing with different cryorolling strains, which provides a new reference for the design

Keywords: Cryorolling     Annealing     Nickel     Strain hardening     Ductility    

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1025-1037 doi: 10.1007/s11709-021-0741-9

Abstract: Thus, this study aims to investigate the time (7, 28, and 90 d)- and temperature (20°C, 35°C, and 45°The obtained results show that pre- and post-failure behaviors of FR-CPB demonstrate strongly curing temperature-dependenceMoreover, the pseudo-hardening behavior is sensitive to curing temperature, especially at early ages.strengths, brittleness, cohesion, and internal friction angle of FR-CPB show increasing trends with curing temperatureas curing time elapses.

Keywords: cemented paste backfill     fiber reinforcement     constitutive behavior     temperature     tailings    

Ethanol production from sweet sorghum residual

BAN Jingyang, YU Jianliang, ZHANG Xu, TAN Tianwei

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 4,   Pages 452-455 doi: 10.1007/s11705-008-0072-6

Abstract: Orthogonal experiments were carried out to investigate the effects of main reaction condition factors, such as temperature, acid concentration, time and dry-matter content, on the reducing sugar yield.

Keywords: application     material     optimal reaction     reaction condition     temperature    

Convergence of time-varying networks and its applications Research Articles

Qingling Wang,qlwang@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000160

Abstract: In this study, we present the convergence of . Then, we apply the convergence property to cooperative control of nonlinear multiagent systems (MASs) with (UCDs), and illustrate a new kind of based control algorithms. It is proven that if the are cut-balance, the convergence of nonlinear MASs with nonidentical UCDs is achieved using the presented algorithms. A critical feature of this application is that the designed algorithms can deal with nonidentical UCDs by employing conventional s. Finally, one simulation example is given to illustrate the effectiveness of the presented algorithms.

Keywords: Time-varying networks     Unknown control directions     Nussbaum-type function     Cut-balance condition    

Non-stationary signal analysis based on general parameterized time--frequency transform and its application

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 292-300 doi: 10.1007/s11465-017-0443-0

Abstract:

With the development of large rotary machines for faster and more integrated performance, the conditionSince the time-frequency (TF) pattern of the vibration signal from the rotary machine often containscondition information and fault feature, the methods based on TF analysis have been widely-used to solvearticle introduces an effective non-stationary signal analysis method based on the general parameterized timeThe GPTFT is achieved by inserting a rotation operator and a shift operator in the short-time Fourier

Keywords: rotary machines     condition monitoring     fault diagnosis     GPTFT     SCI    

Operating characteristic analysis on the ultra-thin low temperature floor-heating system

Hualing ZHANG, Xiaopeng SONG

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 127-132 doi: 10.1007/s11709-013-0200-3

Abstract: But the preheating time was up to 4.5 h which was 1 h longer than that at supply water temperature 50Meanwhile, the energy consumption at supply water temperature 50°C increased 0.10 Nm /h, and the operatingefficiency decrease about 2.6% compared to those at water temperature 45°C.standard families which just stay home at night should adopt the interim mode of partial room with part timeAnd the supply water temperature should be properly raised during the preheating period and lowered down

Keywords: ultra-thin floor heating panel     the preheating time     thermal comfort     energy saving    

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

Keywords: fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time    

Title Author Date Type Operation

Development of realistic design fire time-temperature curves for the testing of cold-formed steel wall

Anthony Deloge ARIYANAYAGAM,Mahen MAHENDRAN

Journal Article

Phase separation time/temperature dependence of thermoplastics-modified thermosetting systems

ZHANG Xiujuan, XU Yuanze, YI Xiaosu

Journal Article

Real-time tool condition monitoring method based on temperature measurement and artificial neural network

Journal Article

Research on strength developing law during the curing of domestic epoxy asphalt mixture

Qian Zhendong,Wang Yaqi and Shen Jialin

Journal Article

Research on the Quasi-static and Dynamic Properties and Constitutive Relation of Carbon Fiber-reinforced Phenolic Composite

Zhang Tai,Wang Xiaojun,Wang Zhihai,Guo Yang,Wang Yuanbo

Journal Article

Applicability of the Arrhenius model for Ammonia Oxidizing Bacteria subjected to temperature time gradients

Alberto MANNUCCI,Giulio MUNZ,Gualtiero MORI,Claudio LUBELLO,Jan A. OLESZKIEWICZ

Journal Article

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuriesamong children and adolescents in China: a time-stratified case-crossover study

Journal Article

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Journal Article

Achieving High Strength and Tensile Ductility in Pure Nickel by Cryorolling with Subsequent Low-TemperatureShort-Time Annealing

Zhide Li,Hao Gu,Kaiguang Luo,Charlie Kong,Hailiang Yu,

Journal Article

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Journal Article

Ethanol production from sweet sorghum residual

BAN Jingyang, YU Jianliang, ZHANG Xu, TAN Tianwei

Journal Article

Convergence of time-varying networks and its applications

Qingling Wang,qlwang@seu.edu.cn

Journal Article

Non-stationary signal analysis based on general parameterized time--frequency transform and its application

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

Journal Article

Operating characteristic analysis on the ultra-thin low temperature floor-heating system

Hualing ZHANG, Xiaopeng SONG

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article