scholarly journals Real-Time Flow Behavior of Hot Mix Asphalt (HMA) Compaction Based on Rheological Constitutive Theory

Materials ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1711
Author(s):  
Guoping Qian ◽  
Kaikai Hu ◽  
Xiangbing Gong ◽  
Ningyuan Li ◽  
Huanan Yu
Keyword(s):  
Rheological Properties ◽  
Real Time ◽  
Hot Mix Asphalt ◽  
Flow Behavior ◽  
Asphalt Mixture ◽  
Time Behavior ◽  
Compaction Process ◽  
Time Curve ◽  
The Real ◽  
Time Flow

Compaction is the most critical stage during pavement construction, but the real-time rheological behavior in the compaction process of hot mix asphalt has not received enough attention. Rheological properties directly reflect the of mixture performance, the intrinsic directly reflects the influencing factors of compaction, and the pavement compactness and service life. Therefore, it is important to interpret the rheological properties of the asphalt mixture during the compaction process. In this paper, the improved Nishihara model was used to study the viscoelastic-plastic properties of the hot mix asphalt in the compaction process. Firstly, the improved Nishihara model was briefly introduced. Subsequently, the stress and strain correlation curves are obtained by the MTS (Material Testing System) compaction test, and the strain-time curve is fitted to determine the model parameter values. Finally, the parameters are substituted into the constitutive equation to obtain the strain-time curve and compared it with the test curve. The results show that the improved Nishihara model effectively depicts the real time behavior of the asphalt mixture in the compaction progress. The viscos and plastic parameters present certain differences, which reflects that the gradation and temperature have certain influence on the compaction characteristics of the mixture.

scholarly journals Real-Time Measurement of Drilling Fluid Rheological Properties: A Review

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3592
Author(s):  
Naipeng Liu ◽  
Di Zhang ◽  
Hui Gao ◽  
Yule Hu ◽  
Longchen Duan
Keyword(s):  
Decision Making ◽  
Rheological Properties ◽  
Real Time ◽  
Drilling Fluid ◽  
Time Measurement ◽  
Decision Making Process ◽  
Rate Of Penetration ◽  
The Real ◽  
Real Time Measurement ◽  
Fluid Properties

The accurate and frequent measurement of the drilling fluid’s rheological properties is essential for proper hydraulic management. It is also important for intelligent drilling, providing drilling fluid data to establish the optimization model of the rate of penetration. Appropriate drilling fluid properties can improve drilling efficiency and prevent accidents. However, the drilling fluid properties are mainly measured in the laboratory. This hinders the real-time optimization of drilling fluid performance and the decision-making process. If the drilling fluid’s properties cannot be detected and the decision-making process does not respond in time, the rate of penetration will slow, potentially causing accidents and serious economic losses. Therefore, it is important to measure the drilling fluid’s properties for drilling engineering in real time. This paper summarizes the real-time measurement methods for rheological properties. The main methods include the following four types: an online rotational Couette viscometer, pipe viscometer, mathematical and physical model or artificial intelligence model based on a Marsh funnel, and acoustic technology. This paper elaborates on the principle, advantages, limitations, and usage of each method. It prospects the real-time measurement of drilling fluid rheological properties and promotes the development of the real-time measurement of drilling rheological properties.

Structural Safety Monitoring during Retrofit of Shanghai Expo Puxi Entertainment Hall

2012 ◽  
Vol 226-228 ◽  
pp. 1203-1208
Author(s):  
Ming Zhao ◽  
Jun Liao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Safety Monitoring ◽  
Structural Safety ◽  
Time Behavior ◽  
The Real ◽  
Space Truss ◽  
Safety Monitoring System ◽  
Space Truss Structure ◽  
Distributed Strain

Shanghai Expo Puxi Entertainment Hall is reconstructed based on existing workshop building. To meet new function requirements of the hall, a structural column is removed and replaced with a jacking beam. A structural safety monitoring system is proposed and applied to evaluate the real-time structural state and ensure the structural safety. Vibrating wire sensors and FBG sensors are installed to monitor the stress of member of the space truss structure; ForesightTM series DSTS (Distributed Strain and Temperature Sensors) is installed to monitor the stress of the jacking beam. Results show that the structural safety monitoring system works stably. The safety monitoring system reflects the real-time behavior of the structure and controls the structural reconstruction safety effectively.

The Real-Time Behavior of Chromium in Arthrobacter oxydans

2009 ◽  
Author(s):  
T. L. Kalabegishvili ◽  
A. N. Rcheulishvili ◽  
N. Y. Tsibakhashvili ◽  
I. G. Murusidze ◽  
S. M. Kerkenjia ◽  
...  
Keyword(s):  
Real Time ◽  
Time Behavior ◽  
The Real ◽  
Arthrobacter Oxydans

Utilization of Real Time Behavior and Geographical Attraction for Location Recommendation

2022 ◽  
Vol 8 (1) ◽  
pp. 1-30
Author(s):  
Xinyu Ren ◽  
Seyyed Mohammadreza Rahimi ◽  
Xin Wang
Keyword(s):  
Real Time ◽  
Spatial Patterns ◽  
Real World ◽  
Spatial Model ◽  
Geographical Information ◽  
Time Behavior ◽  
Location Recommendation ◽  
The Real ◽  
User Behaviors ◽  
Current Location

Personalized location recommendation is an increasingly active topic in recent years, which recommends appropriate locations to users based on their temporal and geospatial visiting patterns. Current location recommendation methods usually estimate the users’ visiting preference probabilities from the historical check-ins in batch. However, in practice, when users’ behaviors are updated in real-time, it is often cost-inhibitive to re-estimate and updates users’ visiting preference using the same batch methods due to the number of check-ins. Moreover, an important nature of users’ movement patterns is that users are more attracted to an area where have dense locations with same categories for conducting specific behaviors. In this paper, we propose a location recommendation method called GeoRTGA by utilizing the real time user behaviors and geographical attractions to tackle the problems. GeoRTGA contains two sub-models: real time behavior recommendation model and attraction-based spatial model. The real time behavior recommendation model aims to recommend real-time possible behaviors which users prefer to visit, and the attraction-based spatial model is built to discover the category-based spatial and individualized spatial patterns based on the geographical information of locations and corresponding location categories and check-in numbers. Experiments are conducted on four public real-world check-in datasets, which show that the proposed GeoRTGA outperforms the five existing location recommendation methods.

Discrete Element Method (DEM) Analyses of Hot-Mix Asphalt (HMA) Mixtures Compaction and Internal Structure

2013 ◽  
Vol 639-640 ◽  
pp. 1287-1294 ◽  
Author(s):  
Jing Song Chen ◽  
Lei Zeng ◽  
Jian Yin
Keyword(s):  
Discrete Element Method ◽  
Hot Mix Asphalt ◽  
Coarse Aggregate ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Point Of View ◽  
Compaction Process ◽  
Dem Simulation ◽  
Air Voids ◽  
Superpave Gyratory Compactor

Asphalt mixture compaction is an important procedure of asphalt mixture construction and can significantly affect the performance of asphalt pavement. In this paper, an open source DEM code was applied to simulate the compaction of hot-mix asphalt (HMA) with the Superpave gyratory compactor. The asphalt mixture compaction process, air voids distribution, internal coarse aggregate structure, and the effect of CA ratio were investigated from a microscopic point of view. The analysis results show that DEM simulation is an economical and effective approach to the research of asphalt mixture compaction, and has tremendous potential for asphalt mixture design.

scholarly journals Cement Grout Nonlinear Flow Behavior through the Rough-Walled Fractures: An Experimental Study

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yuhao Jin ◽  
Lijun Han ◽  
Changyu Xu ◽  
Qingbin Meng ◽  
Zhenjun Liu ◽  
...  
Keyword(s):  
Real Time ◽  
High Precision ◽  
Flow Behavior ◽  
Cement Grout ◽  
Nonlinear Flow ◽  
Linear Coefficient ◽  
The Real ◽  
Grouting Pressure ◽  
Stress Dependent ◽  
Nonlinear Flow Behavior

This research experimentally studied the effects of various fracture roughness (characterized by the fractal dimension D) and normal stress (normal loads FN) applied to fracture on ultrafine cement grout nonlinear flow behavior through rough-walled plexiglass fractured sample. A high-precision and effective sealing self-made apparatus was developed to perform the stress-dependent grout flow tests on the plexiglass sample containing rough-walled fracture (fracture apertures of arbitrary variation were created by high-strength springs and normal loads according to design requirements). The real-time data acquisition equipment and high-precision self-made electronic balance were developed to collect the real-time grouting pressure P and volumetric flow rate Q, respectively. At each D, the grouting pressure P ranged from 0 to 0.9 MPa, and the normal loads FN varied from 1124.3 to 1467.8 N. The experimental results show that (i) the Forchheimer equation was fitted very well to the results of grout nonlinear flow through rough-walled fractures. Besides, both nonlinear coefficient (a) and linear coefficient (b) in Forchheimer’s equation increased with increase of D and FN, and the larger the FN was, the larger the amplitude was. (ii) For normalized transmissivity, with the increase of Re, the decline of the T/T0−β curves mainly went through three stages: viscous regime, weak inertia regime, and finally strong inertia regime. For a certain D, as the normal load FN increased, the T/T0−β curves generally shifted downward, which shows good agreement with the single-phase flow test results conducted by Zimmerman. Moreover, with the increase of D, the Forchheimer coefficient β decreased. However, within smaller FN, β decreased gradually with increasing D and eventually approached constant values. (iii) At a given FN, Jc increased with increasing D.

Digital Data Streams: Creating Value from the Real-Time Flow of Big Data

2016 ◽  
Vol 58 (3) ◽  
pp. 5-25 ◽  
Author(s):  
Federico Pigni ◽  
Gabriele Piccoli ◽  
Richard Watson
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Streams ◽  
Digital Data ◽  
The Real ◽  
Time Flow

scholarly journals Effects of Advocacy Banners after Abandoning Products in Online Shopping Carts

10.28945/4310 ◽  
2019 ◽  
Vol 14 ◽  
pp. 165-181
Author(s):  
Hsiaoping Yeh ◽  
Fenghung Kuo
Keyword(s):  
Real Time ◽  
Future Research ◽  
Time Behavior ◽  
Data Mining Technique ◽  
Managerial Implication ◽  
Clickstream Data ◽  
The Real ◽  
Shopping Cart ◽  
Similar Item ◽  
Business Practitioners

Aim/Purpose: This study empirically analyzed and examined the effectiveness of the online advocacy banners on customers’ reactions to make replacements with the similar products in their shopping carts. Background: When a product in a shopping cart is removed, it might be put back into the cart again during the same purchase or it may be bought in the future. Otherwise, it might be abandoned and replaced with a similar item based on the customer’s enquiry list or on the recommendation of banners. There is a lack of understanding of this phenomenon in the existing literature, pointing to the need for this study. Methodology: With a database from a Taiwanese e-retailer, data were the tracks of empirical webpage clickstreams. The used data for analyses were particularly that the products were purchased again or replaced with the similar ones upon the advocacy banners being shown when they were removed from customers’ shopping carts. Few pre-defined Apriori rules as well as similarity algorithm, Jaccard index, were applied to derive the effectiveness. Contribution: This study addressed a measurement challenge by leveraging the information from clickstream data – particularly clickstream data behavior. These data are most useful to observe the real-time behavior of consumers on websites and also are applied to studying click-through behavior, but not click-through rates, for web banners. The study develops a new methodology to aid advertisers in evaluating the effectiveness of their banner campaign. Findings: The recommending/advocating titles of “you probably are interested” and “the most viewed” are not significantly effective on saving back customers’ removed products or repurchasing similar items. For the banners entitled “most buy”, “the most viewed” might only show popularity of the items, but is not enough to convince them to buy. At the current stage on the host website, customers may either not trust in the host e-retailer or in such mechanism. Additionally, the advocating/recommending banners only are effective on the same customer visits and their effects fade over time. As time passes, customers’ impressions of these banners may become vague. Recommendations for Practitioners: One managerial implication is more effective adoption of advocacy/recommendation banners on e-retailing websites. Another managerial implication is the evaluation of the advocacy/recommendation banners. By using a data mining technique to find the association between removed products and restored ones in e-shoppers’ shopping carts, the approach and findings of this study, which are important for e-retailing marketers, reflect the connection between the usage of banners and the personalized purchase changes in an individual customer’s shopping cart. Recommendation for Researchers: This study addressed a new measurement which challenges to leverage the information from clickstream data instead of click-through rates – particularly retailing webpages browsing behavior. These data are most useful to observe the real-time behavior of consumers on websites and also are applied to studying click-through behavior. Impact on Society: Personalization has become an important technique that allows businesses to improve both sales and service relationships with their online customers. This personalization gives e-marketers the ability to deliver real effectiveness in the use of banners. Future Research: The effectiveness is time- and case-sensible. Business practitioners and academic researchers are encouraged to apply the mining methodology to longevity studies, specific marketing campaigns of advertising and personal recommendations, and any further recommendation algorithms.

The Calculation of TTR in PROFIBUS System

2012 ◽  
Vol 482-484 ◽  
pp. 2183-2187 ◽  
Author(s):  
Li Ping Zhen ◽  
Shao Wei Si ◽  
Huan Qing Xie
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Selection Method ◽  
Time Behavior ◽  
The Real ◽  
Transmission Errors ◽  
Random Behavior ◽  
Token Passing ◽  
Master Station ◽  
The Impact

In PROFIBUS system, we analyzed the time behavior of data exchange and token-passing, and give the TTR selection method, when each master station holding enough token time. And then we discussed the random characteristics of networks and FDL, give the formula of random behavior to calculate time, and get the TTR and the revised value of TTR in PROFIBUS system which has FDL and MS1 communication. Finally, further discussed the case of transmission errors, analyzed the impact of transmission errors to TTR and the real-time of system, and give the TTR and the revised value in this situation.

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