Green Up: Reporting the environmental aspects of asphalt pavements

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California Asphalt Pavement Association

Presentation by Andres Dragos at the CalAPA Fall Asphalt Pavement Conference Oct. 24-25, 2018 in Sacramento.

GREEN UP Dragos Andrei, Ph.D., P.E.
CalAPA 2018 Fall Conference

CONCEPT
Designers are open to include sustainable rehabilitation strategies but they have
limited knowledge, time, and access to relevant resources and contacts
Comprehensive solutions are available but require considerable time and financial
commitments (e.g. LEED, Greenroads)
Green Up is meant to provide a quick way to visually compare rehabilitation
alternatives, learn what options are available, and access links to industry web sites
and contacts
Green Up = decision tool + educational portal + link to industry

SCOPE
Develop the framework for a pavement rehabilitation strategy selection tool that will
be available online, for free.
Designers will have the ability to explore and compare various strategies in terms of:
- responsible use of materials
- global warming potential
- surface characteristics (permeable, cool, quiet)
- life
Include a strong educational component: information + links to relevant resources

CPP PROJECT TEAM
Dragos Andrei, PI
- Robert E. Kochan | Concrete Strategies
- Jose H. Perez | Asphalt Strategies
- Crystal Mena | Recycling Strategies, Environmental

INDUSTRY ADVISERS
Nathan Forrest, California Nevada Cement Association (CNCA)
Brandon Milar, California Asphalt Pavement Association (CalAPA)

THE GREEN UP GRAPHIC – SURFACE PROPERTIES

THE GREEN UP GRAPHIC – COMPARISON
Strategy A vs. Strategy B

I. RESPONSIBLE USE OF MATERIALS
RECYCLED IN PLACE
RECYCLED
IMPORT
RECYCLABLE
EXPORT
WASTE
VIRGIN
MATERIALS

II. GLOBAL WARMING POTENTIAL
Use amount of CO2eq from Environmental Product Declarations (EPD) or
Predicted amount of CO2eq from predictive models based on EPD data
Life Cycle: “cradle to gate” only at this time
Include (learn about) carbon offsets or credits

III. SURFACE PROPERTIES
PERMEABLE Credit for Porous Asphalt/Pervious Concrete/Permeable Pavers
COOL Credit for high Solar Reflectance Index (SRI)
QUIET Credit for low noise levels
Options:
YES NO N/A

IV. LIFE EXTENSION
Designers should strive for longer life within budgetary constraints
Links to pavement performance prediction resources will be provided
Links to life cycle cost analysis resources will be provided
Life Extenstion:
Temporary
< 10 years
Typical
> 10 years
New Design
> 20 years
Long Life
> 40 years
Perpetual
> 70 years
x1Gen x2Gen x3Gen

PLAN
Finalize the framework with feedback from industry
Identify desired functionality of an online app
Complete by May 2019
Develop online app
Launch and maintain the app with industry and agencies support
Continue to improve and update with time
This project
Next project

ACKNOWLEDGEMENTS
Funding for this research was provided by the State of California’s Senate Bill 1 “The
Road Repair and Accountability Act of 2017” and administered by the California
State University Transportation Consortium.

This document outlines the Green Up project, which aims to develop an online pavement rehabilitation strategy selection tool. The tool will allow designers to visually compare rehabilitation alternatives and assess them based on criteria like material use, environmental impact, surface properties, and life extension. It will provide an educational component with information and links to additional resources. A project team led by Dragos Andrei will finalize the framework with industry input and develop an online app to launch in May 2019. The app will help designers select more sustainable rehabilitation strategies.

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This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024

Sinan KOZAK

Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.

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Embedded machine learning-based road conditions and driving behavior monitoring

IJECEIAES

Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.

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Design and optimization of ion propulsion drone

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Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.

TIME TABLE MANAGEMENT SYSTEM testing.pptx

CVCSOfficial

Applications of artificial Intelligence in Mechanical Engineering.pdf

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Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI. AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.

Mechanical Engineering on AAI Summer Training Report-003.pdf

21UME003TUSHARDEB

一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理

upoux

原版一模一样【微信：741003700 】【(osu毕业证书)美国俄勒冈州立大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：校徽：象征着学校的荣誉和传承。校名:学校英文全称授予学位：本部分将注明获得的具体学位名称。毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。综上所述，办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

22CYT12-Unit-V-E Waste and its Management.ppt

KrishnaveniKrishnara1

Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.

Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...

shadow0702a

This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL. The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process. The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging. It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal. Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages. Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.

Data Driven Maintenance | UReason Webinar

UReason

Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.

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Green Up: Reporting the environmental aspects of asphalt pavements

1. GREEN UP Dragos Andrei, Ph.D., P.E. CalAPA 2018 Fall Conference

2. CONCEPT Designers are open to include sustainable rehabilitation strategies but they have limited knowledge, time, and access to relevant resources and contacts Comprehensive solutions are available but require considerable time and financial commitments (e.g. LEED, Greenroads) Green Up is meant to provide a quick way to visually compare rehabilitation alternatives, learn what options are available, and access links to industry web sites and contacts Green Up = decision tool + educational portal + link to industry

3. SCOPE Develop the framework for a pavement rehabilitation strategy selection tool that will be available online, for free. Designers will have the ability to explore and compare various strategies in terms of: - responsible use of materials - global warming potential - surface characteristics (permeable, cool, quiet) - life Include a strong educational component: information + links to relevant resources

4. CPP PROJECT TEAM Dragos Andrei, PI - Robert E. Kochan | Concrete Strategies - Jose H. Perez | Asphalt Strategies - Crystal Mena | Recycling Strategies, Environmental

5. INDUSTRY ADVISERS Nathan Forrest, California Nevada Cement Association (CNCA) Brandon Milar, California Asphalt Pavement Association (CalAPA)

6. THE GREEN UP GRAPHIC 1SY

7. THE GREEN UP GRAPHIC – SURFACE PROPERTIES

8. THE GREEN UP GRAPHIC – COMPARISON Strategy A vs. Strategy B

9. I. RESPONSIBLE USE OF MATERIALS RECYCLED IN PLACE RECYCLED IMPORT RECYCLABLE EXPORT WASTE VIRGIN MATERIALS

10. II. GLOBAL WARMING POTENTIAL Use amount of CO2eq from Environmental Product Declarations (EPD) or Predicted amount of CO2eq from predictive models based on EPD data Life Cycle: “cradle to gate” only at this time Include (learn about) carbon offsets or credits

11. III. SURFACE PROPERTIES PERMEABLE Credit for Porous Asphalt/Pervious Concrete/Permeable Pavers COOL Credit for high Solar Reflectance Index (SRI) QUIET Credit for low noise levels Options: YES NO N/A

12. IV. LIFE EXTENSION Designers should strive for longer life within budgetary constraints Links to pavement performance prediction resources will be provided Links to life cycle cost analysis resources will be provided Life Extenstion: Temporary < 10 years Typical > 10 years New Design > 20 years Long Life > 40 years Perpetual > 70 years x1Gen x2Gen x3Gen

13. EDUCATIONAL COMPONENT

14. PLAN Finalize the framework with feedback from industry Identify desired functionality of an online app Complete by May 2019 Develop online app Launch and maintain the app with industry and agencies support Continue to improve and update with time This project Next project

15. ACKNOWLEDGEMENTS Funding for this research was provided by the State of California’s Senate Bill 1 “The Road Repair and Accountability Act of 2017” and administered by the California State University Transportation Consortium.

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