Digital Commons Network^™

Permafrost Landscape History Shapes Fluvial Chemistry, Ecosystem Carbon Balance, And Potential Trajectories Of Future Change, Scott Zolkos, Suzanne E. Tank, Steven V. Kokelj, Robert G. Striegl, Sarah Shakil, Carolina Voigt, Oliver Sonnentag, William L. Quinton, Edward A.G. Schuur, Donatella Zona, Peter M. Lafleur, Ryan C. Sullivan, Masahito Ueyama, David Billesbach, David Cook, Elyn R. Humphreys, Philip Marsh

Daugherty Water for Food Global Institute: Faculty Publications

Intensifying permafrost thaw alters carbon cycling by mobilizing large amounts of terrestrial substrate into aquatic ecosystems. Yet, few studies have measured aquatic carbon fluxes and constrained drivers of ecosystem carbon balance across heterogeneous Arctic landscapes. Here, we characterized hydrochemical and landscape controls on fluvial carbon cycling, quantified fluvial carbon fluxes, and estimated fluvial contributions to ecosystem carbon balance across 33 watersheds in four ecoregions in the continuous permafrost zone of the western Canadian Arctic: unglaciated uplands, ice-rich moraine, and organic-rich lowlands and till plains. Major ions, stable isotopes, and carbon speciation and fluxes revealed patterns in carbon cycling across ecoregions …

Project-Based Learning Promotes Students’Perceived Relevance In An Engineering Statistics Course: A Comparison Of Learning In Synchronous And Online Learning Environments, Wen Huang, Jeremi S. London, Loga A. Perry

Department of Civil and Environmental Engineering: Faculty Publications

Understanding statistics is essential for engineers. However, statistics courses remain challenging for many students, as they find them rigid, abstract, and demanding. Prior research has indicated that using project based learning (PjBL) to demonstrate the relevance of statistics to students can have a significant effect on learning in these courses. Consequently, this study sought to explore the impact of a PjBL intervention on student perceptions of the relevance of engineering and statistics. The purpose of the intervention was to help students understand the connection between statistics and their academic majors, lives, and future careers. Four mini-projects connecting statistics to students’ …

Impact Of Operational And Restoration Interdependencies On Cost And Disruptive Effect In Multilayered Infrastructure Networks, Brigham A. Moore, Steven J. Schuldt, Ramana V. Grandhi, David R. Jacques

Faculty Publications

Network-based modeling and simulation of interdependent infrastructure systems has traditionally modeled 1 to 2 interdependency subtypes within a given model. Typically, different interdependency subtypes are modeled with special sets, variables, and parameters rather than integrated into the model as a standard feature. The most thorough current modeling efforts have modeled only four of the nine interdependency subtypes identified throughout academic literature. This paper presents the first model to incorporate all nine of the identified interdependency subtypes in a multiobjective mixed-integer program. The model is tested using a simulated flood event and a modified interdependent infrastructure dataset representing a medium- to …

2022 Fall Engr333 Project Assignment, Matthew K. Heun

ENGR 333

The Fall 2022 ENGR333 project focused on sustainable heating for Calvin University.

I asked the students “What would it take to eliminate Calvin’s natural gas-related net CO2 emissions?”

Matt Kucinski (Calvin PR) wrote a story about the project. President Boer wrote a complementary post about the students’ work on LinkedIn.

Customer

The customer for this project was Dr. Wiebe Boer, President of Calvin University.

Multimodal Imaging Of Structural Concrete Using Image Fusion And Deep Learning, Sina Mehdinia

Dissertations and Theses

Concrete structures may be exposed to a variety of loads and environments during their service life. Non-destructive testing (NDT) techniques can be helpful in evaluating the condition of a structure. Imaging provides a visual representation of the interior of concrete and its condition non-destructively. Ground penetrating radar (GPR) and ultrasonic echo array (UEA) using electromagnetic and stress waves, respectively, provide the data that can be used to reconstruct an image. In this PhD dissertation, image reconstruction and fusion algorithms, simulation, and a deep learning model were investigated with the goal to lay the foundation for enhanced imaging applications for concrete. …

Weather Routing For The Refined Management Of Passage, Guobao Gong

World Maritime University Dissertations

No abstract provided.

Decarbonization Of International Shipping Industry And Its Impact On China From The Perspective Of Economic Analysis, Haolin Peng

World Maritime University Dissertations

No abstract provided.

The Optimum Decarbonization Path For A Container Ship Company, Tao Wang

World Maritime University Dissertations

No abstract provided.

Research On The Detection Technologies Of Ship Exhaust Gas In Emission Control Areas, Binting Tu

World Maritime University Dissertations

No abstract provided.

Optimising Existing Digital Workflow For Structural Engineering Organisations Through The Partnering Of Bim And Lean Processes, John Mclaughlin, Barry Mcauley

Conference Papers

Building Information Modelling (BIM) is now seen as one of the leading transformative processes within the Architectural, Engineering and Construction (AEC) sector and has the potential to assist in streamlining the structural design process. However, its practical implementation can often add another layer to the existing workflow and can result, to its detriment, in the primary objective of optimising structural workflows being hindered. This can lead to structural organisations producing 3D models in tandem with traditional drawings, a lack of human intervention regarding software interoperability, and a reluctance to move away from conventional work methods. This paper will explore how …

Modelling The Thermoelectric Properties Of Cement-Based Materials Using Finite Element Method And Effective Medium Theory, Lorenzo Stella, Conrad Johnston, Javier Troncoso, Piotr Chudzinski, Esther Orisakwee, Jorge Kohanoff, Ruchita Jani, Niall Holmes Dr., Brian Norton, Xiaoli Liu, Ming Qu, Hongxi Yin, Kazuaki Yazawa

Conference papers

Because of the thermoelectric (TE) effect (or Seebeck effect), a difference of potential is generated as a consequence of a temperature gradient across a sample. The TE effect has been mostly studied and engineered in semiconducting materials and it already finds several commercial applications. Only recently the TE effect in cement-based materials has been demonstrated and there is a growing interest in its potential. For instance, a temperature gradient across the external walls of a building can be used to generate electricity. By the inverse of the TE effect (or Peltier effect), one can also seek to control the indoor …

Water As Medium Adapting Water Towers, Inge Donné, Bie Plevoets

IntAR Interventions Adaptive Reuse

No abstract provided.

A Metropolitan Park Of Water, Renzo Lecardane, Paola La Scala

IntAR Interventions Adaptive Reuse

No abstract provided.

Environmental Identity The São Paulo Rivers Case, Anne Schraidber

IntAR Interventions Adaptive Reuse

No abstract provided.

The Blue Line Reusing Traditional Rural Water Management Systems, Francesco Garofalo

IntAR Interventions Adaptive Reuse

No abstract provided.

The Hammam Of Erbil Citadel A Confluence Of Past, Present, And Future, Ahmed Abbas, Karen Lens

IntAR Interventions Adaptive Reuse

No abstract provided.

The Oyster Blocks Project Subaqueous Interventions For Non-Humans, Michael Leighton Beaman

IntAR Interventions Adaptive Reuse

No abstract provided.

The Tears Of The U.S.S. Arizona A Tomb That Lives, Alexander Ford, Nicholas Gervasi

IntAR Interventions Adaptive Reuse

No abstract provided.

Picturing Space The Manipulation Of Architectural Imagery, Jeffrey Katz

IntAR Interventions Adaptive Reuse

No abstract provided.

From Rust To Reuse From Building To Community Through Instrument Making, Zeke Leonard

IntAR Interventions Adaptive Reuse

No abstract provided.

Singularities Of Place, Elizabeth G.M. Parker

IntAR Interventions Adaptive Reuse

No abstract provided.

What Once Was, Jenna Balute

IntAR Interventions Adaptive Reuse

No abstract provided.

Constructing "Documenta", Mariel Villeré

IntAR Interventions Adaptive Reuse

No abstract provided.

“Worn Half An Inch Down” Authenticity Of Digital Replicas, Christopher William Brown

IntAR Interventions Adaptive Reuse

No abstract provided.

Sampling Secularization Transforming Religious Space, Kirby Benjamin, Katherine Porter

IntAR Interventions Adaptive Reuse

No abstract provided.

Intersection Of Art, Science, And Architecture Stochastic Architectural Compositions Of Eventualist Theory, Claudio Greco

IntAR Interventions Adaptive Reuse

No abstract provided.

A Sacred Translation Holy Trinity Church To Jesus Son Of Mary Mosque, Dennis Earle

IntAR Interventions Adaptive Reuse

No abstract provided.

Improving Data-Driven Infrastructure Degradation Forecast Skill With Stepwise Asset Condition Prediction Models, Kurt R. Lamm, Justin D. Delorit, Michael N. Grussing, Steven J. Schuldt

Faculty Publications

Organizations with large facility and infrastructure portfolios have used asset management databases for over ten years to collect and standardize asset condition data. Decision makers use these data to predict asset degradation and expected service life, enabling prioritized maintenance, repair, and renovation actions that reduce asset life-cycle costs and achieve organizational objectives. However, these asset condition forecasts are calculated using standardized, self-correcting distribution models that rely on poorly-fit, continuous functions. This research presents four stepwise asset condition forecast models that utilize historical asset inspection data to improve prediction accuracy: (1) Slope, (2) Weighted Slope, (3) Condition-Intelligent Weighted Slope, and (4) …

Between Memory And Invention An Interview With Nietq Sobejano Arquitectos, Luis Sacristán Murga

IntAR Interventions Adaptive Reuse

No abstract provided.

Going Dutch Duplication, Authencity And Reprogrammed Experience, Iris Mach

IntAR Interventions Adaptive Reuse

No abstract provided.