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School of Civil and Environmental Engineering

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Database of UHPC Material Constituents, Mixture Proportions and Performance

2024-05-15 , Childs, Christopher M. , Miller, Aaron , Neiswanger , Willie , Poczos, Barnabas , Stewart, Lauren K. , Kurtis, Kimberly E. , Washburn, Newell R.

A database was compiled of UHPC mixtures from published literature. Four datasets were chosen for training a machine learning model, from the references listed below. The collected datasets were limited to those cured at 20°C with 28-day compressive strengths in excess of 100 MPa. See readme file for data sources.

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Construction 3D Printing Materials and Anisotropic Strength Properties

2024 , Bradford, Katy

This database presents results from previous studies regarding the anisotropic properties of 3D-printed composite materials applicable to construction 3D printing with concrete 3D printers, and corresponding data for cast samples of the same mixture designs. The purpose of this dataset is to provide information regarding various types of applicable composite materials, including cements, clays, earth, and geopolymers, for the future development of low-carbon construction 3D printing assemblies.

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Conventional hydroelectricity and the future of energy: Linking national T inventory of dams and energy information administration data to facilitate analysis of hydroelectricity

2020-01 , Grubert, Emily

Within the energy community, conventional dam and reservoir-based hydroelectricity is often viewed as a low- cost, immediately available zero-carbon resource that could facilitate more intermittent renewable electricity integration, seasonal storage, and other grid benefits. Conventional hydroelectricity systems, however, are po- tentially unique among power plants in that energy provisioning is not the only priority for their fuel, stored water. This paper presents a record linkage between electricity- and dam management-oriented datasets to facilitate attention to the fundamental challenge of altering operational regimes for systems that have other uses.

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All Complete Bacterial and Archeal Genomes -- Set 6

2014-02-03 , Konstantinidis, Kostas T. , Rodriguez, Luis M.

Motivation: Determining the fraction of the diversity within a microbial community sampled and the amount of sequencing required to cover the total diversity represent challenging issues for metagenomics studies. Due to these limitations, central ecological questions with respect to the global distribution of microbes and the functional diversity of their communities cannot be robustly assessed. Results: We introduce Nonpareil, a method to estimate and project coverage in metagenomes. Nonpareil does not rely on high-quality assemblies, OTU calling, or comprehensive reference databases; thus, it is broadly applicable to metagenomic studies. Application of Nonpareil on available metagenomic datasets provided estimates on the relative complexity of soil, freshwater and human microbiome communities, and suggested that about 200Gb of sequencing data are required for 95% abundance-weighted average coverage of the soil communities analyzed.

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Database of Machine Learning Modeling of UHPC Performance based on Material Constituents, Mixture Proportions and Latent Variables

2024-05-15 , Childs, Christopher M. , Miller, Aaron , Neiswanger, Willie , Poczos, Barnabas , Stewart, Lauren K. , Kurtis, Kimberly E. , Washburn, Newell R.

The database records the amount of cement, supplementary cementitious materials, filler materials (e.g., quartz), aggregate (i.e., sand), water, superplasticizer, and steel fibers in each unit volume of each ultra-high performance concrete (UHPC), as well as their key characteristics (e.g., particle diameter (D50) and specific surface area (SSA)). The curing temperature and 28-day compressive strength results for each are recorded. Four parameters were included as latent variable representation of the composition in the model: the equivalent cement content, the particle packing of the mixture, the water film thickness, and an empirical relation of fiber addition to compressive strength. In addition to these latent variables, three compositional features which are common in any UHPC blend were included: the superplasticizer content, the water content, and the cement content.

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Integrated Decision Support Tool (iDST) Life Cycle Costing Module for Distributed Stormwater Control Measures (SCMs)

2020-05-18 , Grubert, Emily , Krieger, Jennifer

The life cycle costing (LCC) module for distributed stormwater control measures (SCMs) for the integrated decision support tool (i-DST) supporting analysis of green, grey, and hybrid stormwater infrastructure deployment in urban settings in the United States is an Excel workbook that allows for planning-level evaluation of costs and first-order environmental impacts of stormwater infrastructure. The LCC module provides inputs to the broader i-DST to enable cost-based analysis. Additionally, the LCC module is a standalone workbook and can be used independently. The data include an Excel-based life cycle cost model for distributed stormwater control measures and its user guide. This model is a module of the broader Integrated Decision Support Tool led by the Colorado School of Mines (https://idst.mines.edu) in collaboration with researchers at UC Berkeley, South Dakota School of Mines, Georgia Tech, and The Nature Conservancy. The purpose is to support customizable analysis of life cycle costs associated with distributed stormwater control measures in the United States, including a first-order estimate of environmental costs. The model includes various scenario analyses, including the ability to adjust the base year of analysis, but is based primarily on data available in 2018-2019.

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Physical Properties of Geomaterials Datasets

2015-05 , Santamarina, J. Carlos , Roshankhah, Shahrzad

Abstract for Chapter 3 dataset: Energy-related geosystems often impose extreme temperatures and loading conditions on the surrounding medium, so granular materials must be selected or engineered to satisfy heat transfer requirements and mechanical stability. In this work, the thermo-mechanical response of some natural and engineered granular materials was investigated by subjecting dense specimens to vertical load under zero lateral strain boundary conditions with concurrent thermal conductivity measurements. The materials studied were quartzitic sand with and without metal coatings, fly ash, diatomaceous earth, ceramic microspheres and hollow glass microspheres. Dry and densely packed hollow glass microspheres, ceramic microspheres and naturally occurring diatomaceous earth were found to be more compressible than sands, but exhibited very low thermal conductivity and very low stress-dependent gain in thermal conductivity. At the other extreme, dense sands combined the high thermal conductivity of quartz with the benefits of metal coatings to render the highest thermal conductivity values among the tested materials; while mechanically stable, dense sands were found to experience pronounced changes in thermal conductivity with stress. Analytical predictions show that saturation with high thermal conductivity liquids will enhance the effective thermal conductivity of granular materials more than the changes attained with metal coatings. Interparticle heat conduction processes and contact resistance explain the measured conductivity values obtained with the granular materials tested in this study.

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Metagenomic evaluation of the performance of passive Moore swabs for sewage monitoring relative to composite sampling over time resolved deployments

2024-01 , Cha, Gyuhyon , Zhu, Kevin J. , Fisher, Jamie M. , Flores, Camryn I. , Brown, Joe , Pinto, Ameet , Hatt, Janet K. , Konstantinos, Kostas T. , Graham, Katherine E.

Moore swabs have re-emerged as a versatile tool in the field of wastewater-based epidemiology during the COVID-19 pandemic and offer unique advantages for monitoring pathogens in sewer systems, especially at the neighborhood-level. However, whether Moore swabs provide comparable results to more commonly used composite samples remains to be rigorously tested including the optimal duration of Moore swab deployment. This study provides new insights into these issues by comparing the results from Moore swab samples to those of paired composite samples collected from the same sewer lines continuously over six to seventy-two hours post-deployment, during low COVID-19 prevalence periods. Our results show that Moore swabs accumulated approximately 10-fold higher PMMoV concentrations (on a basis of mL of Moore swab squeezed filtrate to mL of composite sewage) and showed comparable trends in terms of bacterial species abundance when compared to composite samples. Moore swabs also generally captured higher SARS-CoV-2 N1/N2 RNA concentrations than composite samples. Moore swabs showed comparable trends in terms of abundance dynamics of the sewage microbiome to composite samples and variable signs of saturation over time that were site and/or microbial population-specific. Based on our dual ddRT-PCR and shotgun metagenomic approach, we find that Moore swabs at our sites were optimally deployed for 6 hours at a time at two sites.

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Novel Alternative Cement Binders for Highway Structures and Pavements Dataset

2020-04-23 , Alapati, Prasanth , Burris, Lisa E. , Kurtis, Kimberly E. , Moradllo, Mehdi Khanzadeh , Peery, Jacob , Ley, Tyler , Berke, Neal , Moser, Robert

The ubiquity and the necessity of concrete infrastructure prompts innovation in addressing the global challenge of meeting societal needs in the most sustainable and economical ways possible. Increasing the use of non-portland cements or “alternative cementitious materials” (ACMs) is increasingly of interest due to their special properties and to their potential to reduce the environmental footprint of concrete. The special properties of ACMs may vary by material but include rapid setting, rapid strength development, higher ultimate strength, improved dimensional stability and increased durability in aggressive environments. The increased strength and increased durability further contribute to enhanced service life which can help offset initially higher materials costs, and also to enhanced sustainability. In the past, most ACMs have primarily been used in specialty limited applications and some of them have been shown in lab-scale studies to be feasible for the partial or full replacement of traditional portland cements used in concrete. However, there is limited understanding of the scalability of construction with these material systems, their long-term performance and durability in a range of environments, and their structural response when subjected to transportation-relevant loading conditions. This data presents the results from the comprehensive investigation of the applications of these commercially available ACMs in durable and sustainable transportation infrastructure, which include the early-age and long-term material properties as well as complete multi-scale durability investigations.

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Low Richness -- Set 1

2014-02-03 , Konstantinidis, Kostas T. , Rodriguez, Luis M.

Motivation: Determining the fraction of the diversity within a microbial community sampled and the amount of sequencing required to cover the total diversity represent challenging issues for metagenomics studies. Due to these limitations, central ecological questions with respect to the global distribution of microbes and the functional diversity of their communities cannot be robustly assessed. Results: We introduce Nonpareil, a method to estimate and project coverage in metagenomes. Nonpareil does not rely on high-quality assemblies, OTU calling, or comprehensive reference databases; thus, it is broadly applicable to metagenomic studies. Application of Nonpareil on available metagenomic datasets provided estimates on the relative complexity of soil, freshwater and human microbiome communities, and suggested that about 200Gb of sequencing data are required for 95% abundance-weighted average coverage of the soil communities analyzed.

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