23 research outputs found
The Beautiful Things That Heaven Bears / Dinaw Mengestu
No full textFresh Reads was a reading program for incoming Freshmen. Christian Brothers University would collaborate with other Memphis libraries - Memphis Public Library in this year - to encourage group readings and to brind the author to town
Statistical Analysis of Factors Influencing the Liquid and Plastic Limits of Fine-Grained Soil Mixtures
No full textApplication of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
No full textCalifornia bearing ratio (CBR) test is one of the comprehensive tests used for the last few decades to design the pavement thickness of roadways, railways and airport runways. Laboratory-performed CBR test is considerably rigorous and time-taking. In a quest for an alternative solution, this study utilizes novel computational approaches, including the kernel ridges regression, K-nearest neighbor and Gaussian process regression (GPR), to predict the soaked CBR value of soils. A vast quantity of 1011 in situ soil samples were collected from an ongoing highway project work site. Two data divisional approaches, i.e., K-Fold and fuzzy c-means (FCM) clustering, were used to separate the dataset into training and testing subsets. Apart from the numerous statistical performance measurement indices, ranking and overfitting analysis were used to identify the best-fitted CBR prediction model. Additionally, the literature models were also tried to validate through present study datasets. From the results of Pearson’s correlation analysis, Sand, Fine Content, Plastic Limit, Plasticity Index, Maximum Dry Density and Optimum Moisture Content were found to be most influencing input parameters in developing the soaked CBR of fine-grained plastic soils. Experimental results also establish the proficiency of the GPR model developed through FCM and K-Fold data division approaches. The K-Fold data division approach was found to be helpful in removing the overfitting of the models. Furthermore, the predictive ability of any model is considerably influenced by the geological location of the soils/materials used for the model development. © 2023, The Author(s)
Bauxite Residue: A viable filler for asphalt mix
No full textOtpadni boksit ili crveni mulj koristi se u mješavinama od asfaltbetona kao zamjensko punilo umjesto kamenog brašna. Projektirane su asfaltne mješavine s oba punila i ocijenjena je njihova čvrstoća, volumetrijska svojstva i ponašanje u raznim okolnostima (pojava kolotraga, pojava pukotina, dugotrajno starenje i osjetljivost na vlagu). Mješavine s crvenim muljem odlikuju se višim vrijednostima stabilnosti prema Marshallu i otpornije su na pojavu kolotraga i pojavu pukotina zbog mineralogije i finoće crvenog mulja. Alkalna i hidrofobna svojstva crvenog mulja omogućila su postizanje zadovoljavajuće otpornosti mješavine na vlagu. Međutim, mješavine s crvenim muljem imale su viši optimalni udio veziva i manju otpornost na dugoročno starenje, što se pripisuje poroznosti crvenog mulja.Bauxite residue or red mud is used as surrogate filler for stone dust in asphalt concrete mixes. Asphalt mixes with both fillers were designed and strength, volumetric properties, and performance against various distresses (rutting, cracking, long-term aging, and moisture susceptibility) were assessed. Red mud mixes displayed higher Marshall stability and resistances against rutting and cracking due to mineralogy and fineness of red mud. Alkaline and hydrophobic nature of red mud produced satisfactory moisture resistant mix. However, red mud mixes had higher optimum binder content and lower long-term aging resistance which was attributed to porous nature of red mud
Statistical modeling of traffic noise at intersections in a mid-sized city, India
No full textThe modeling of traffic noise is more debated around intersections due to traffic flow and road geometry complexity. The available intersection-specific traffic noise models cannot be transferred to predict the traffic noise at intersections in the mid-sized Indian cities due to traffic heterogeneity, variety in driving conditions, and vehicle compositions. This article aims to develop an intersection-specific traffic noise model by collecting data at 19 intersections in Kanpur, India. The data include a wide range of traffic, road, and weather-related variables. Furthermore, significant input variables are determined and used in the statistical regression model to develop an intersection-specific traffic noise model for the mid-sized Indian cities. This study develops a separate entrance and exit arm model based on the corresponding influencing variables. The coefficient of determination (R
2) value is 0.74 and 0.69 for the developed model at the entrance and exit arms, respectively, whereas these models achieve R
2 values of 0.73 and 0.67 in the validation step. Also, the performance of developed models is evaluated on the standard and mean absolute errors as performance metrics. This study finds that traffic volume and receiver distance are relatively the most important variables in the entrance and exit arm noise models
Utilization of Waste Glass Powder and Glass Composite Fillers in Asphalt Pavements
No full textToday, researchers around the globe are looking for suitable alternatives of conventional fillers which can form flexible pavements with satisfactory engineering performance in an environmental friendly and cost-effective manner. This study investigated the engineering, economical, and environmental viability of recycling waste glass powder (GP) and glass-hydrated lime (GL) composite as alternative fillers, in place of stone dust (SD). All fillers were characterized, and asphalt concrete mixes incorporating them at different proportions (4–8.5%) were designed using the Marshall mix design method. The engineering performance of asphalt mixes was analyzed using the static creep analysis, indirect tensile fatigue test, Cantabro test, modified Lottman test, resilient modulus test, mixing time analysis, and boiling water test. Additionally, the design of single km of two-lane flexible pavements utilizing aforesaid mixes was done as per the mechanistically empirical method suggested in IRC 37 guideline. Finally, the economic and environmental analysis was done by comparing their material cost and global warming potential (GWP). GL and GP mixes exhibited better resistance against rutting, fatigue, and low temperature cracking at lower optimum asphalt content than SD mixes. However, GP mixes also displayed poor moisture resistance and adhesion due to the high amount of silica in GP. GL mixes had satisfactory moisture resistance up to 7% filler content due to the fine nature and anti-stripping properties of hydrated lime. The pavement containing GL and GP fillers also reduced material cost and GWP up to 35% while consuming up to 74 tons of GP
A homecoming evening wtih Andrew Weil, MD
No full text\u22Health is a wholeness and balance, an inner resilience that allows you to meet the demands of living without being overwhelmed . . .\u22 -- Andrew Weil, MD
Andrew Weil, MD, delivered the inaugural lecture of the Brind Distinguished Lectureship in Integrative Medicine at Thomas Jefferson University Hospital on March 16, 2000.
A Philadelphia native and graduate of Harvard Medical School, Dr. Weil is a leader in the integration of Western medicine and alternative medicine. He is internationally recognized as a teacher, researcher and author.
He is the founder of the Program in Integrative Medicine at the University of Arizona Health Sciences Center, where he is training a new generation of physicians. An entertaining and informative speaker, Dr. Weil prescribes proven methods that will help you live healthier and assist your body in its efforts to heal naturally.
The one-hour lecture was originally recorded to videotape and later converted to QuickTime; quality is sometimes choppy
