Relevant bibliographies by topics / Bromegrasses – Kansas – Mathematical models

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'Bromegrasses – Kansas – Mathematical models'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Bromegrasses – Kansas – Mathematical models"

1

Zhang, Liye, and W. M. Kim Roddis. "Machine Learning in Updating Predictive Models of Planning and Scheduling Transportation Projects." Transportation Research Record: Journal of the Transportation Research Board 1588, no. 1 (1997): 86–94. http://dx.doi.org/10.3141/1588-11.

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A method combining machine learning and regression analysis to automatically and intelligently update predictive models used in the Kansas Department of Transportation’s (KDOT’s) internal management system is presented. The predictive models used by KDOT consist of planning factors (mathematical functions) and base quantities (constants). The duration of a functional unit (defined as a subactivity) is determined by the product of a planning factor and its base quantity. The availability of a large data base on projects executed over the past decade provided the opportunity to develop an automa
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Dissertations / Theses on the topic "Bromegrasses – Kansas – Mathematical models"

1

Kipp, Steven J. "A comparison between the investment value and market value of Kansas agricultural land." 1985. http://hdl.handle.net/2097/27524.

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Ortel, Terry William. "Optimization of surge irrigation." 1986. http://hdl.handle.net/2097/22129.

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Donnelly, R. (Rick). "A model for predicting air travel demand in small communities." 1985. http://hdl.handle.net/2097/27428.

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Books on the topic "Bromegrasses – Kansas – Mathematical models"

1

Jian, Xiaodong. Effects of pumping municipal wells at Manhattan, Kansas, on streamflow in the Big Blue and Kansas Rivers, northeast Kansas, 1992-94. U.S. Dept. of the Interior, U.S. Geological Survey, 1997.

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Myers, Nathan C. Effects of pumping municipal wells at Junction City, Kansas, on streamfow in the Republican River, northeast Kansas, 1992-94. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Jian, Xiaodong. Characterization and simulation of flow in the lower Arkansas River alluvial aquifer, south-central Kansas. U.S. Geological Survey, 2004.

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4

Burnett, Robert D. Availability of water for irrigation in the South Fork Solomon River Valley, Webster Reservoir to Waconda Lake, north-central Kansas. Dept. of the Interior, U.S. Geological Survey, 1986.

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Burnett, Robert D. Availability of water for irrigation in the South Fork Solomon River Valley, Webster Reservoir to Waconda Lake, north-central Kansas. Dept. of the Interior, U.S. Geological Survey, 1986.

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Burnett, Robert D. Availability of water for irrigation in the South Fork Solomon River Valley, Webster Reservoir to Waconda Lake, north-central Kansas. Dept. of the Interior, U.S. Geological Survey, 1986.

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7

Myers, Nathan C. Analysis of water-level data and ground-water flow modeling at Fort Riley, Kansas. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Myers, Nathan C. Analysis of water-level data and ground-water flow modeling at Fort Riley, Kansas. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Myers, Nathan C. Analysis of water-level data and ground-water flow modeling at Fort Riley, Kansas. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Myers, Nathan C. Analysis of water-level data and ground-water flow modeling at Fort Riley, Kansas. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Conference papers on the topic "Bromegrasses – Kansas – Mathematical models"

1

Haynes, Mark D., Chih-Hang John Wu, Matthew Arnold, Naga Narendra B. Bodapati, B. Terry Beck, and Robert J. Peterman. "Bond Index Numbers of Prestressed Concrete Reinforcement Wires and Their Relationships to Transfer Lengths and Pull-Out Forces." In 2016 Joint Rail Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/jrc2016-5787.

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The purpose of this research is to establish mathematical models that predicts the bond strength of a reinforcement wire in prestressed concrete members, given the known geometrical features of the wire. A total of nineteen geometrical features of the reinforcement wire were measured and extracted by a precision non-contact profilometer. With these mathematical models, prestressing reinforcement wires can now be analyzed for their bond strength without destructive testing. These mathematical models, based upon a large collection of empirical data via prestressing reinforcement wires from vario
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2

Yu, Hailing, and David Jeong. "Finite Element Bond Modeling for Indented Wires in Pretensioned Concrete Crossties." In 2016 Joint Rail Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/jrc2016-5782.

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Indented wires have been increasingly employed by concrete crosstie manufacturers to improve the bond between prestressing steel reinforcements and concrete, as bond can affect several critical performance measures, including transfer length, splitting propensity and flexural moment capacity of concrete ties. While extensive experimental testing has been conducted at Kansas State University (KSU) to obtain bond characteristics of about a dozen commonly used prestressing wires, this paper develops macro-scale or phenomenological finite element bond models for three typical wires with spiral or
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