scholarly journals Mathematical model for assessing the high-rise apartment buildings complex quality

2019 ◽  
Vol 91 ◽  
pp. 02025 ◽  
Author(s):  
Azariy Lapidus ◽  
Yana Shesterikova
Keyword(s):  
Mathematical Model ◽  
Influencing Factors ◽  
Quality Index ◽  
Construction Project ◽  
Factor Matrix ◽  
High Rise ◽  
Apartment Buildings ◽  
The Mathematical Model

With use of factor matrix, four groups of parameters were identified, and one group was determined as the most significant one, which affects the complex quality index in high-rise apartment buildings constriction. The dependence between the complex quality index and the values of influencing factors was determined. The mathematical model that allows making adjustments to achieve the required levels of quality at all stages of the construction project was considered.

Mathematical Modeling of Electrochemical Deburring

2010 ◽  
Vol 126-128 ◽  
pp. 545-550 ◽  
Author(s):  
Wen Ji Xu ◽  
W. Wang ◽  
Xu Yue Wang ◽  
Gui Bing Pang
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Influencing Factors ◽  
Applied Voltage ◽  
Experimental Results ◽  
Electrode Gap ◽  
Workpiece Material ◽  
Burr Height ◽  
Object A ◽  
The Mathematical Model

The drilling burr is taken as the research object. A mathematical model of electrochemical deburring (ECD) is established and the effects of main influencing factors, such as inter-electrode gap, applied voltage and deburring time, on burr height have been analyzed. The results show that the deburring time increases with the increase of initial burr height, inter-electrode gap, with the decrease of volume of electrochemical equivalent of the workpiece material, conductivity of electrolyte and applied voltage. The deburring time for various burr heights can be predicted by the mathematical model. The calculated results obtained from the mathematical model are approximately consistent with the experimental results. The results show that initial burr height h0=0.722mm is removed, and the fillet radius R=0.211mm is obtained.

scholarly journals Application of the method of complex assessment of the quality of high rise apartment buildings in practice

2021 ◽  
Vol 258 ◽  
pp. 09031
Author(s):  
Yana Shesterikova
Keyword(s):  
Mathematical Model ◽  
Desirability Function ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Construction ◽  
High Rise ◽  
Apartment Buildings ◽  
Expert Opinions ◽  
Main Factors

A comprehensive approach to the problem of improving the quality of construction of residential buildings, allows you to take into account various main factors that affect the quality of construction in General. Using the method of expert opinions, the most significant parameters were identified. The weight of each factor is determined using a mathematical model. The experiment examined three levels of variation in significance for each group of factors. After obtaining a discrete value of a complex indicator of the quality of construction of a residential building, it is interpreted using adapted quantitative ranges of values of the generalized Harrington desirability function. A method has been developed to determine the effectiveness of organizational and technological decisions made. An algorithm has also been developed to improve the quality of residential building construction.

Influencing Factors Analysis on Regulating Effect of the Pintle Controlled Thrust Regulating Mechanism

2010 ◽  
Vol 44-47 ◽  
pp. 1320-1324
Author(s):  
Lan Ting Zhang ◽  
Hai Qing Cheng ◽  
Li Ming Song ◽  
Jin Shun Yan
Keyword(s):  
Mathematical Model ◽  
Influencing Factors ◽  
Theoretical Foundation ◽  
Rocket Engine ◽  
Structure Design ◽  
Factors Analysis ◽  
Main Factors ◽  
Solid Rocket ◽  
And Control ◽  
The Mathematical Model

Based on the thrust regulating principle of pintle controlled solid-rocket engine, the mathematical model between pintle motion and thrust changing is established, and influence of main factors to thrust regulating effect is analyzed. These results can provide theoretical foundation for structure design and control of pintle controlled thrust regulating mechanism of solid-rocket engine.

Life Prediction of Bearings Based on Fuzzy Theory

2010 ◽  
Vol 455 ◽  
pp. 422-426 ◽  
Author(s):  
X.Q. Wang ◽  
F.K. Cui ◽  
G.B. Wang
Keyword(s):  
Mathematical Model ◽  
Case Studies ◽  
Influencing Factors ◽  
Life Prediction ◽  
Fuzzy Theory ◽  
Membership Degree ◽  
Fuzzy Reliability ◽  
Calculation Results ◽  
The Mathematical Model ◽  
Full Consideration

Based on the fuzzy theory and universal calculation equations, the mathematical model is established for predicting life of a bearing by analyzing various factors. And the fuzzy reliability life can be calculated according to the model. The case studies show that for the proposed method takes full consideration of all the influencing factors and their function of membership degree, the calculation results are very close to the actual ones.

Simulation Study on Influencing Factors of Rapid Steam-Charging Process in Steam Accumulator

2013 ◽  
Vol 281 ◽  
pp. 563-567 ◽  
Author(s):  
Guo Lei Zhang ◽  
Bao Zhi Sun ◽  
Yan Jun Li ◽  
Hong Bo Ma ◽  
Cong Liu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Influencing Factors ◽  
Simulation Study ◽  
Dynamic Process ◽  
Great Influence ◽  
Equilibrium Thermodynamics ◽  
Filling Water ◽  
Steam Accumulator ◽  
The Mathematical Model

In this paper, the mathematical model for the rapid steam-charging process of the steam accumulator was given based on the theory of equilibrium thermodynamics. The dynamic process has been simulated according to the model, and the effects of different factors on the steam-charging process were analyzed. The results showed that the initial coefficients of filling water had great influence on the time of steam-charging, and the influence of the considered metal’s mass was limited for the steam-charging process.

Detection and Test of Rind-Pith Adhesive Strength of Corn Stalks

2021 ◽  
Vol 37 (1) ◽  
pp. 149-156
Author(s):  
Wanyuan Huang ◽  
Yuanjuan Gong ◽  
Xuewei Bai
Keyword(s):  
Mathematical Model ◽  
Moisture Content ◽  
Influencing Factors ◽  
Adhesive Strength ◽  
Sampling Location ◽  
List Type ◽  
Single Factor ◽  
Simulation And Optimization ◽  
Peeling Strength ◽  
The Mathematical Model

HighlightsA detection clamp for the rind-pith adhesive strength of corn stalks based on peeling method was designed.A rind-pith adhesive strength detection method was proposed taking average peeling strength as the test index.The characteristics of rind-pith adhesive strength were analyzed, and a mathematical model between average peeling strength and influencing factors was established.Abstract. Rind-pith separation of corn stalks is one of the effective measures for realizing high-value utilization of stalks. Therefore, it is necessary to study rind-pith adhesive strength of stalks and its influencing factors to determine effective separation methods. In this study, a peeling method was put forward and single factor and multi-factor tests were carried out to explore the rind-pith adhesive strength. The analysis of single factor tests showed that sampling location, moisture content, and peeling speed were all significant on the average rind-pith peeling strength and the Fp = 25.70 > F0.05 (4, 20) = 2.87, Fm = 112.46 > F0.05 (4, 20) = 2.87 and Fs = 231.21 > F0.05 (6, 28) = 2.45. The mathematical model between average peeling strength and influencing factors was established through multi-factor tests. The model was analyzed and optimized, and the significance sequence of influencing factors is sampling location > moisture content > peeling speed, and the effect of interaction between moisture content and sampling location was significant (P<0.05). It can be concluded that the rind-pith peeling strengths of internode sections among 1st-7th internodes of corn stalks were 360.09-450.01 N/m, which are smaller and more favorable for mechanical separation for stalks with moisture content of 15%-20% and at peeling speed of 30-40 mm/min. The results of this study may provide a theoretical reference for the modeling of corn stalks and the subsequent simulation and optimization of rind-pith separation machines. Keywords: Average peeling strength, Adhesive strength, Corn stalks, Rind-pith Separation.

scholarly journals Problem minimalizacji przestojów w pracy brygad generalnego wykonawcy w harmonogramowaniu przedsięwzięć budowlanych

2017 ◽  
Vol 26 (2) ◽  
pp. 193-201 ◽  
Author(s):  
Piotr Jaśkowski ◽  
Michał Tomczak
Keyword(s):  
Mathematical Model ◽  
Project Scheduling ◽  
Construction Projects ◽  
Construction Project ◽  
Time Constraints ◽  
Production Capability ◽  
General Contractor ◽  
High Level ◽  
The Mathematical Model ◽  
Construction Project Scheduling

During executing of construction projects enterprises seek for high level of coordinating engaged resources. This seeking evinces in providing continuity and levelling production. It enables making of entire production capability. This paper analyses scheduling work of general contractor crews, which carry out unrhytmic, noncyclic and inhomogeneous processes in deterministic conditions. The mathematical model of work gaps for general contractor crews in construction project scheduling is formulated. This model also counts crews availability limits, cost and time constraints and possibility of tasks outsourcing for subcontractors.

Modeling and Experiment of Pulse Electrochemical Deburring on Inclined Exit Surface of Drilling Hole

2011 ◽  
Vol 328-330 ◽  
pp. 502-506 ◽  
Author(s):  
Ning Ma ◽  
Wen Ji Xu ◽  
Ze Fei Wei ◽  
Gui Bing Pang
Keyword(s):  
Mathematical Model ◽  
Influencing Factors ◽  
Applied Voltage ◽  
Voltage Pulse ◽  
Burr Height ◽  
Exit Surface ◽  
Interelectrode Gap ◽  
Parametric Studies ◽  
The Mathematical Model ◽  
Applied Voltage Pulse

In this paper the characteristics of pulse electrochemical deburring (PECD) is analyzed through a developed mathematical model and main influencing factors such as applied voltage, pulse duty factor, deburring time, initial burr height and initial interelectrode gap on burr height have been analyzed. The paper also highlights the scheme of the developed PECD system designed to operate within the parametric limits. The calculated results obtained from the mathematical model are found to be approximately consistent with the experimental results. The results show that initial burr height h0=0.057mm is removed, and the fillet radius R=0.248mm is obtained. The present paper through various parametric studies will act as a guideline for the operation of a PECD system.

scholarly journals Research on Mathematical Model of Cost Budget in the Early Stage of Assembly Construction Project Based on Improved Neural Network Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xin Lin ◽  
Yinan Lu
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Neural Network Model ◽  
Early Stage ◽  
Construction Project ◽  
Earned Value ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
The Cost ◽  
The Mathematical Model

In view of the poor performance of the original mathematical model of assembly construction project precost budget, a mathematical model of assembly construction project precost budget based on improved neural network algorithm is proposed. This paper investigates the cost content of assembly construction project and analyzes its early cost. It finds that the early cost of assembly construction project includes component production cost, transportation component cost, and installation component cost. Based on the improved neural network algorithm to build an improved neural network model, the improved neural network model to mine the cost data in the early stage of assembly construction project is used. In this paper, the earned value variable is introduced to transform the project duration and project cost in the early stage of the prefabricated construction project into quantifiable cost data, and the earned value analysis method is used to estimate the implementation cost of the prefabricated construction project. According to the result of cost estimation, the mathematical model of precost budget of prefabricated construction project is built based on the project parameters. In order to prove that the cost budget performance of the mathematical model based on the improved neural network algorithm in the early stage of assembly construction project is better, the original mathematical model is compared with the mathematical model, the experimental results show that the cost budget performance of the model is better than the original model, and the cost budget performance is improved.

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